cvpr97.ps
资源名称:Snakes.rar [点击查看]
上传用户:zlding2008
上传日期:2013-05-13
资源大小:1914k
文件大小:2077k
源码类别:
2D图形编程
开发平台:
Matlab
- -2 -2 3 0 1829 1465 3 MP stroke
- -2 -2 3 0 1830 1492 3 MP stroke
- -3 -2 4 0 1830 1520 3 MP stroke
- -3 -2 4 0 1831 1547 3 MP stroke
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- 0 -2 1 1 1826 1758 3 MP stroke
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- 1851 327 mt 1851 327 L
- 1851 354 mt 1851 354 L
- 1851 381 mt 1851 381 L
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- -1 0 1851 2017 2 MP stroke
- 1851 2045 mt 1851 2045 L
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- 1877 327 mt 1877 327 L
- 1877 354 mt 1877 354 L
- 1877 381 mt 1877 381 L
- 0 -1 0 1 1877 407 3 MP stroke
- 0 -1 0 1 1877 434 3 MP stroke
- 1 0 0 1 1876 460 3 MP stroke
- 1876 487 mt 1876 487 L
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- 5 -3 -2 5 1868 705 3 MP stroke
- 6 -4 -2 6 1867 732 3 MP stroke
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- 4 -2 -2 4 1870 783 3 MP stroke
- 2 -2 -1 3 1873 807 3 MP stroke
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- -2 -1 2 -1 1882 1228 3 MP stroke
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- -2 -1 2 -1 1883 1333 3 MP stroke
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- -3 -1 3 -1 1885 1386 3 MP stroke
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- 1877 2018 mt 1877 2018 L
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- 5 -2 -2 4 1895 809 3 MP stroke
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- -4 -2 4 -1 1911 1255 3 MP stroke
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- -4 -3 5 0 1913 1414 3 MP stroke
- -4 -3 5 0 1914 1441 3 MP stroke
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- -4 -3 5 -1 1914 1494 3 MP stroke
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- 1 0 0 1 1929 486 3 MP stroke
- 1929 513 mt 1929 513 L
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- 6 -2 -3 5 1919 784 3 MP stroke
- 6 -3 -3 6 1919 809 3 MP stroke
- 5 -2 -3 5 1920 834 3 MP stroke
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- -7 2 5 -6 1943 1062 3 MP stroke
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- 1930 2072 mt 1930 2072 L
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- 0 1 -1 -1 1930 2122 3 MP stroke
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- 3 -1 -1 3 1950 728 3 MP stroke
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- 7 -2 -5 6 1945 834 3 MP stroke
- 7 -2 -5 5 1945 860 3 MP stroke
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- 2 0 -2 2 1953 962 3 MP stroke
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- -2 1 1 -2 1961 1012 3 MP stroke
- -4 1 3 -4 1965 1037 3 MP stroke
- -6 1 4 -5 1968 1063 3 MP stroke
- -7 1 5 -5 1969 1090 3 MP stroke
- -7 0 6 -4 1969 1118 3 MP stroke
- -7 -1 6 -3 1969 1146 3 MP stroke
- -6 -1 6 -3 1969 1174 3 MP stroke
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- -6 -2 6 -2 1969 1228 3 MP stroke
- -6 -2 6 -1 1968 1254 3 MP stroke
- -5 -2 5 -2 1967 1281 3 MP stroke
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- -4 -2 5 -1 1964 1334 3 MP stroke
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- 3 4 -5 -2 1951 1774 3 MP stroke
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- 0 1 -1 -1 1956 2122 3 MP stroke
- 0 3 -1 -2 1956 2145 3 MP stroke
- -1 4 -2 -4 1957 2168 3 MP stroke
- 1983 327 mt 1983 327 L
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- 1983 407 mt 1983 407 L
- 1983 433 mt 1983 433 L
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- 1983 539 mt 1983 539 L
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- 1983 592 mt 1983 592 L
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- 1 0 -1 0 1983 645 3 MP stroke
- 1 -1 -1 1 1982 672 3 MP stroke
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- 4 -2 -3 4 1975 781 3 MP stroke
- 6 -1 -4 5 1973 807 3 MP stroke
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- 7 -1 -5 4 1970 860 3 MP stroke
- 7 -1 -5 5 1970 885 3 MP stroke
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- 7 0 -5 4 1971 938 3 MP stroke
- 5 -1 -4 4 1973 964 3 MP stroke
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- -1 0 1984 1039 2 MP stroke
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- -5 1 4 -3 1991 1118 3 MP stroke
- -5 -1 4 -2 1992 1146 3 MP stroke
- -5 -1 5 -2 1992 1174 3 MP stroke
- -5 -1 5 -2 1993 1201 3 MP stroke
- -5 -2 5 -1 1993 1227 3 MP stroke
- -4 -1 4 -2 1993 1253 3 MP stroke
- -4 -1 4 -2 1991 1279 3 MP stroke
- -4 -1 3 -1 1990 1305 3 MP stroke
- -2 -1 2 -1 1988 1332 3 MP stroke
- -2 -1 2 0 1986 1358 3 MP stroke
- 1 0 1984 1385 2 MP stroke
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- 2 0 -2 1 1981 1463 3 MP stroke
- 2 1 -2 0 1980 1489 3 MP stroke
- 2 1 -2 1 1979 1514 3 MP stroke
- 3 1 -3 1 1978 1540 3 MP stroke
- 3 1 -3 1 1977 1566 3 MP stroke
- 3 2 -4 0 1976 1592 3 MP stroke
- 3 3 -4 0 1975 1617 3 MP stroke
- 3 4 -5 -1 1975 1642 3 MP stroke
- 3 4 -5 -1 1975 1668 3 MP stroke
- 4 5 -6 -2 1976 1694 3 MP stroke
- 2 4 -4 -2 1976 1721 3 MP stroke
- 3 4 -4 -2 1977 1748 3 MP stroke
- 2 3 -3 -1 1978 1775 3 MP stroke
- 2 3 -3 -1 1979 1802 3 MP stroke
- 1 2 -2 -1 1980 1830 3 MP stroke
- 1 1 -1 0 1981 1857 3 MP stroke
- 1 1 -1 0 1982 1884 3 MP stroke
- 0 1 0 -1 1982 1912 3 MP stroke
- 1983 1939 mt 1983 1939 L
- 1983 1965 mt 1983 1965 L
- 1983 1992 mt 1983 1992 L
- 0 -1 0 1 1983 2018 3 MP stroke
- 1983 2045 mt 1983 2045 L
- 0 -1 0 1 1983 2071 3 MP stroke
- 1982 2097 mt 1982 2097 L
- 1 1 -1 0 1982 2122 3 MP stroke
- 0 2 -1 -1 1982 2146 3 MP stroke
- -1 4 -2 -3 1983 2169 3 MP stroke
- 0 -1 2010 328 2 MP stroke
- 2010 354 mt 2010 354 L
- 0 -1 0 1 2010 380 3 MP stroke
- 2010 407 mt 2010 407 L
- 2010 433 mt 2010 433 L
- 2010 460 mt 2010 460 L
- 2010 486 mt 2010 486 L
- 2010 513 mt 2010 513 L
- 2010 539 mt 2010 539 L
- 0 -1 2010 566 2 MP stroke
- 2010 592 mt 2010 592 L
- 2010 618 mt 2010 618 L
- 1 0 2009 645 2 MP stroke
- 0 -1 0 1 2009 671 3 MP stroke
- 0 -1 0 1 2008 698 3 MP stroke
- 1 0 -1 1 2007 725 3 MP stroke
- 2 -1 -1 2 2005 752 3 MP stroke
- 3 -1 -2 3 2003 779 3 MP stroke
- 5 -1 -3 3 2001 806 3 MP stroke
- 5 -1 -3 4 1999 832 3 MP stroke
- 6 -1 -5 4 1998 859 3 MP stroke
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- 8 0 -6 4 1996 912 3 MP stroke
- 7 0 -6 4 1996 939 3 MP stroke
- 8 0 -6 5 1996 965 3 MP stroke
- 7 -1 -5 5 1996 992 3 MP stroke
- 6 -1 -4 5 1998 1017 3 MP stroke
- 4 0 -3 2 2001 1042 3 MP stroke
- 2 1 -2 1 2005 1066 3 MP stroke
- 1 1 -1 -1 2008 1092 3 MP stroke
- 2010 1118 mt 2010 1118 L
- -1 0 1 -1 2011 1146 3 MP stroke
- -2 -1 2 0 2012 1173 3 MP stroke
- -2 -1 2 0 2013 1200 3 MP stroke
- -2 -1 2 0 2013 1226 3 MP stroke
- -2 -1 2 -1 2013 1252 3 MP stroke
- -2 1 1 -2 2013 1277 3 MP stroke
- -1 1 1 -2 2011 1303 3 MP stroke
- -1 1 0 -1 2010 1329 3 MP stroke
- 1 1 -1 -1 2008 1356 3 MP stroke
- 1 1 -1 0 2006 1383 3 MP stroke
- 3 1 -3 1 2005 1409 3 MP stroke
- 3 2 -3 0 2003 1436 3 MP stroke
- 3 2 -3 1 2002 1461 3 MP stroke
- 4 2 -5 1 2002 1487 3 MP stroke
- 4 2 -5 1 2001 1513 3 MP stroke
- 4 2 -5 1 2001 1539 3 MP stroke
- 4 2 -5 1 2000 1565 3 MP stroke
- 5 3 -6 0 2000 1591 3 MP stroke
- 5 4 -6 0 2000 1616 3 MP stroke
- 4 3 -5 0 2000 1642 3 MP stroke
- 4 4 -5 -1 2001 1668 3 MP stroke
- 4 3 -5 -1 2002 1695 3 MP stroke
- 3 3 -4 -1 2003 1722 3 MP stroke
- 2 3 -4 -1 2005 1749 3 MP stroke
- 2 2 -3 0 2006 1776 3 MP stroke
- 1 2 -2 -1 2007 1804 3 MP stroke
- 1 1 -2 0 2008 1831 3 MP stroke
- 1 1 -1 0 2008 1858 3 MP stroke
- 1 0 -1 0 2009 1885 3 MP stroke
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- 2009 1992 mt 2009 1992 L
- 2009 2018 mt 2009 2018 L
- 2009 2045 mt 2009 2045 L
- 2009 2071 mt 2009 2071 L
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- 0 1 -1 -1 2009 2123 3 MP stroke
- 1 2 -1 -1 2008 2147 3 MP stroke
- 0 3 -2 -2 2009 2171 3 MP stroke
- 2036 328 mt 2036 328 L
- 2036 354 mt 2036 354 L
- 2036 381 mt 2036 381 L
- 2036 407 mt 2036 407 L
- 2036 433 mt 2036 433 L
- 2036 460 mt 2036 460 L
- 2036 486 mt 2036 486 L
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- -1 -1 1 0 2036 566 3 MP stroke
- -1 0 1 0 2036 592 3 MP stroke
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- 2036 644 mt 2036 644 L
- 2036 671 mt 2036 671 L
- 0 1 2035 697 2 MP stroke
- 1 0 0 1 2034 724 3 MP stroke
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- 3 -1 -2 3 2030 804 3 MP stroke
- 4 -1 -3 3 2029 831 3 MP stroke
- 5 -1 -4 3 2027 858 3 MP stroke
- 6 -1 -5 4 2026 884 3 MP stroke
- 7 0 -5 4 2024 911 3 MP stroke
- 7 -1 -5 5 2023 938 3 MP stroke
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- 8 0 -6 5 2021 1018 3 MP stroke
- 8 0 -6 5 2021 1043 3 MP stroke
- 7 1 -6 3 2024 1068 3 MP stroke
- 5 1 -5 2 2027 1093 3 MP stroke
- 3 1 -3 1 2029 1119 3 MP stroke
- 3 1 -2 1 2030 1146 3 MP stroke
- 3 0 -2 1 2031 1173 3 MP stroke
- 2 0 -2 2 2032 1199 3 MP stroke
- 2 0 -2 1 2032 1225 3 MP stroke
- 2 1 -2 0 2032 1250 3 MP stroke
- 2 1 -2 0 2032 1275 3 MP stroke
- 2 2 -3 -1 2032 1301 3 MP stroke
- 1 2 -3 -1 2032 1327 3 MP stroke
- 3 3 -4 -1 2031 1354 3 MP stroke
- 3 2 -3 0 2029 1381 3 MP stroke
- 4 2 -4 0 2028 1408 3 MP stroke
- 5 2 -5 1 2027 1434 3 MP stroke
- 5 2 -5 1 2026 1460 3 MP stroke
- 5 3 -6 1 2026 1486 3 MP stroke
- 5 3 -6 1 2026 1512 3 MP stroke
- 5 3 -6 0 2026 1539 3 MP stroke
- 5 3 -6 0 2026 1565 3 MP stroke
- 4 3 -5 0 2026 1591 3 MP stroke
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- 6 1 -5 3 2076 1120 3 MP stroke
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- 13
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- c7
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- -5 9 -5 8 -4 10 -4 9 -3 9 -3 10 -2 10 -2 9
- -1 10 0 10 -1 10 1413 1236 28 MP stroke
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- -2 6 -1 6 -2 6 -1 6 1450 1220 5 MP stroke
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- -2 8 -3 8 -2 8 -2 9 -3 8 -2 10 -2 6 -1 6
- -2 6 -1 6 -2 7 -1 6 -2 6 -1 6 1484 1187 15 MP stroke
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- -1 6 -2 6 -1 6 -1 6 -3 11 -2 11 -2 10 -1 11
- -1 11 -1 11 -1 10 0 9 0 8 1 8 1 7 1504 1142 24 MP stroke
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- 0 -8 -1 -9 0 -8 966 1266 100 MP stroke
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- -5 5 -5 6 -5 5 1470 1368 100 MP stroke
- -5 6 -4 7 -5 7 -4 8 -4 8 -4 9 -4 10 -3 10
- -4 11 -3 11 -2 9 -2 9 -1 8 -1 9 -2 8 0 8
- -1 8 -1 9 0 9 0 10 1 11 1 12 1 10 2 10
- 2 9 2 8 3 6 2 7 3 5 1503 1116 30 MP stroke
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- 2 3 2 3 3 3 3 3 3 3 3 4 3 3 3 4
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- -1 -12 -2 -6 -3 -7 861 1075 100 MP stroke
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- 3 8 4 7 3 7 3 6 3 5 3 5 2 5 1497 1099 72 MP stroke
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- 2 3 3 2 2 3 3 3 2 3 3 3 3 3 4 3
- 4 4 5 4 5 4 6 4 6 4 8 5 8 4 9 4
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- 11 3 6 2 6 2 6 2 6 2 6 2 6 2 5 2
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- 6 3 6 2 6 3 6 3 6 3 6 3 6 3 6 3
- 6 2 5 2 6 3 9 3 8 2 6 1 5 1 5 -1
- 9 -4 9 -4 3 -3 892 965 100 MP stroke
- 2 -3 3 -3 4 -4 3 -4 3 -3 3 -3 2 -3 3 -3
- 3 -3 2 -4 3 -3 3 -3 2 -3 3 -4 4 -4 3 -4
- 3 -4 3 -5 4 -4 3 -4 2 -4 3 -3 3 -4 2 -4
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- -7 -4 -8 -4 -9 -5 1111 1418 100 MP stroke
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- 3 9 4 9 3 7 1514 1128 100 MP stroke
- 4 7 3 6 3 6 4 5 3 5 3 4 2 4 3 4
- 1489 1087 9 MP stroke
- 2 3 2 3 2 2 2 3 2 2 6 7 2 3 2 2
- 3 2 2 3 3 3 3 2 3 3 3 4 5 3 4 4
- 6 4 6 4 7 4 8 4 8 4 9 3 9 3 9 2
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- 3 -2 3 -3 3 -4 906 947 100 MP stroke
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- -12 -1 -11 -1 -10 0 893 1364 100 MP stroke
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- -8 4 -8 5 -8 5 -7 6 -8 7 -3 4 -3 4 -4 4
- -3 4 -3 4 -2 4 1509 1347 100 MP stroke
- -6 9 -4 10 -4 9 -4 10 -3 11 -2 6 -1 6 -1 6
- -1 6 -2 11 -1 11 -1 9 0 9 0 8 0 9 1 8
- 0 8 1 7 1 7 2 7 1 7 2 6 2 7 3 7
- 3 7 3 8 4 8 4 7 3 7 4 6 3 5 4 5
- 3 4 3 5 3 3 2 4 3 3 2 3 1482 1078 39 MP stroke
- 2 3 2 2 3 3 2 2 2 3 2 3 3 2 2 3
- 3 2 2 3 3 3 3 3 3 3 4 3 4 3 5 4
- 6 4 7 4 7 4 8 4 8 3 9 3 9 2 8 1
- 8 1 9 -1 8 -1 8 -2 8 -4 8 -4 8 -4 8 -5
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- 5 2 10 4 10 4 9 2 8 3 9 2 9 2 8 1
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- 6 -5 7 -5 2 -2 919 932 100 MP stroke
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- 2 -2 3 -3 2 -3 921 930 100 MP stroke
- 3 -3 3 -3 2 -3 3 -3 3 -3 2 -3 3 -3 2 -3
- 3 -3 2 -3 2 -2 2 -3 3 -3 2 -2 2 -3 2 -2
- 2 -3 2 -3 2 -2 2 -2 5 -6 5 -6 2 -3 2 -2
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- 3 -6 2 -8 3 -8 3 -10 3 -9 3 -8 2 -8 2 -7
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- -3 2 -3 2 -3 2 1325 1433 100 MP stroke
- -3 2 -4 2 -3 2 -3 1 -3 1 -3 1 -9 2 -8 2
- -4 1 -4 1 -5 1 -5 1 -6 0 -6 1 -6 1 -7 2
- -7 1 -7 1 -7 2 -7 2 -7 2 -7 3 -7 3 -7 3
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- 3 3 2 3 3 2 2 3 3 3 2 2 3 3 3 2
- 3 3 3 3 4 3 5 3 5 4 5 3 7 4 7 4
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- 7 -2 8 -3 8 -5 8 -4 9 -6 4 -2 4 -3 9 -5
- 9 -5 8 -5 7 -3 6 -3 5 -2 5 -1 4 -1 9 5
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- 5 -3 4 -3 4 -2 3 -3 3 -2 2 -2 2 -3 6 -6
- 3 -3 2 -3 3 -3 918 933 100 MP stroke
- 3 -3 2 -3 3 -3 2 -3 3 -2 2 -3 2 -3 3 -3
- 2 -2 2 -3 2 -3 2 -2 2 -3 3 -2 2 -3 2 -2
- 2 -3 2 -2 2 -3 2 -3 3 -3 2 -3 3 -3 2 -3
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- 2 -3 3 -4 2 -3 3 -4 4 -5 3 -5 4 -6 5 -7
- 4 -8 5 -8 5 -9 4 -9 4 -9 4 -9 3 -9 4 -9
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- -2 -4 -2 -4 -2 -4 786 1406 100 MP stroke
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- -2 -3 -3 -4 -4 -5 -3 -2 -2 -2 -3 -2 -3 -3 -3 -2
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- -3 2 -3 1 -4 1 1342 1425 100 MP stroke
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- -5 1 -5 1 -5 1 -6 1 -7 1 -6 1 -7 1 -7 2
- -7 2 -8 2 -7 3 -8 3 -8 4 -8 4 -7 5 -7 5
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- 3 6 3 5 3 5 3 5 3 4 3 4 3 4 2 3
- 3 4 2 3 3 3 2 3 2 3 2 3 2 2 3 3
- 2 2 2 3 2 2 2 3 1466 1058 77 MP stroke
- 2 3 2 2 2 2 3 3 2 2 3 3 2 2 3 3
- 4 3 4 3 4 3 5 3 5 3 6 4 7 4 7 3
- 8 3 7 3 8 2 7 1 8 1 7 -1 7 -1 7 -1
- 7 -3 8 -3 7 -4 8 -5 7 -5 8 -5 8 -5 8 -4
- 7 -4 7 -4 6 -3 6 -2 5 -1 4 -1 6 2 6 2
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- 3 8 4 8 3 9 4 8 5 9 4 9 6 9 5 8
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- 2 -2 3 -3 2 -2 2 -3 3 -2 2 -3 3 -4 4 -5
- 4 -4 4 -4 2 -3 905 948 100 MP stroke
- 2 -2 2 -3 2 -2 2 -3 3 -2 2 -3 2 -2 2 -3
- 2 -2 2 -3 2 -2 2 -3 2 -2 2 -2 2 -3 3 -3
- 2 -4 3 -3 3 -3 3 -4 2 -3 3 -3 2 -3 3 -3
- 2 -2 5 -7 2 -3 2 -3 3 -3 2 -3 4 -5 3 -5
- 4 -6 5 -6 4 -7 4 -7 4 -7 3 -6 3 -5 2 -6
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- -1 -3 -2 -3 -3 -5 790 1413 100 MP stroke
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- -4 1 -4 1 -4 0 1366 1419 100 MP stroke
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- -6 4 -6 4 -6 5 -5 5 -6 7 -5 6 -6 8 -5 8
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- 3 4 3 4 2 4 3 3 2 4 3 3 2 3 2 3
- 2 2 2 3 2 2 2 3 2 2 2 3 3 2 2 3
- 2 3 3 2 1461 1053 75 MP stroke
- 5 4 4 5 2 2 2 2 3 2 2 3 3 2 3 3
- 4 3 4 3 5 3 5 4 6 3 6 3 7 4 7 3
- 8 2 7 2 7 2 7 1 7 0 7 -1 7 -1 7 -2
- 7 -3 7 -4 7 -4 8 -5 8 -5 8 -5 9 -5 7 -5
- 8 -4 6 -3 6 -2 6 -1 5 0 5 1 4 2 4 3
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- 3 8 3 8 2 8 3 7 3 7 2 7 3 6 4 6
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- 5 -4 5 -3 4 -4 3 -3 3 -3 3 -3 3 -3 2 -3
- 3 -2 2 -3 2 -2 920 930 100 MP stroke
- 2 -3 3 -3 3 -3 2 -3 3 -3 2 -3 2 -3 3 -2
- 2 -3 3 -3 2 -3 2 -3 2 -3 3 -2 2 -2 2 -3
- 2 -2 2 -3 2 -3 3 -3 3 -4 2 -3 3 -3 2 -3
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- 3 -4 3 -4 4 -5 3 -6 4 -6 5 -7 4 -7 4 -7
- 4 -7 4 -8 3 -8 4 -7 3 -8 3 -8 3 -9 3 -8
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- -1 -3 -2 -2 -1 -3 785 1405 100 MP stroke
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- -2 -3 -2 -3 -2 -3 -3 -3 -2 -2 -2 -3 -3 -4 -3 -3
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- -3 2 -5 3 -6 3 1337 1426 100 MP stroke
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- -7 2 -7 2 -8 2 -7 3 -7 3 -8 3 -7 4 -7 5
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- 3 4 3 4 2 3 3 4 2 3 3 3 2 3 2 2
- 2 3 2 2 2 3 2 2 2 3 2 2 2 3 2 2
- 2 3 2 2 1462 1053 83 MP stroke
- 2 3 3 3 2 2 3 3 3 2 3 3 3 3 4 2
- 4 3 4 3 5 4 6 3 6 3 6 4 7 3 7 2
- 8 2 7 2 6 1 7 0 7 0 6 -1 7 -2 6 -2
- 7 -4 8 -4 7 -4 8 -5 9 -6 8 -5 8 -5 8 -4
- 7 -4 6 -2 5 -2 5 -1 5 0 4 1 3 2 2 3
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- 2 11 3 10 3 11 4 10 3 10 4 9 3 8 5 7
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- 6 -3 5 -3 5 -4 5 -3 4 -3 3 -4 4 -3 3 -2
- 2 -3 3 -3 2 -2 933 916 100 MP stroke
- 2 -2 2 -2 2 -3 2 -2 2 -2 2 -3 2 -2 2 -2
- 2 -3 3 -2 2 -3 2 -3 4 -3 3 -4 2 -3 3 -3
- 2 -3 2 -2 2 -3 2 -2 2 -3 2 -2 2 -3 2 -2
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- 4 -5 2 -2 2 -3 2 -3 3 -2 2 -3 2 -3 2 -3
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- 5 -8 5 -9 5 -9 2 -5 2 -5 2 -5 3 -5 2 -5
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- 0 -4 -2 -5 -1 -5 770 1364 100 MP stroke
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- -4 5 -3 4 -4 3 1307 1448 100 MP stroke
- -3 3 -2 3 -3 2 -3 2 -3 3 -3 2 -4 2 -3 2
- -4 2 -4 1 -5 2 -5 1 -5 2 -4 1 -5 1 -4 1
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- 3 6 3 5 4 5 3 5 3 5 3 4 2 4 3 3
- 3 4 2 3 2 3 2 3 3 2 2 3 2 2 2 3
- 2 2 2 3 2 3 3 3 2 3 3 2 2 3 3 2
- 1456 1048 89 MP stroke
- 2 3 3 2 3 2 2 3 3 2 3 3 4 3 4 3
- 4 3 5 3 6 3 6 3 6 3 7 3 6 3 7 2
- 7 2 7 1 6 1 7 0 6 -1 6 -1 6 -3 7 -3
- 7 -3 7 -5 8 -5 8 -5 9 -5 8 -6 8 -4 8 -4
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- 2 5 1 7 2 7 1 9 2 9 2 9 1 8 2 9
- 2 8 2 8 2 8 3 9 3 8 4 9 4 9 5 8
- 5 8 6 7 7 6 7 6 8 5 9 4 9 4 10 3
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- 7 -1 8 -1 8 -1 7 -1 7 -2 6 -1 11 -3 10 -3
- 9 -3 8 -4 8 -4 6 -4 5 -3 5 -4 4 -3 3 -3
- 4 -2 3 -3 3 -3 2 -3 3 -3 2 -2 3 -3 2 -2
- 3 -3 2 -2 2 -3 923 927 100 MP stroke
- 2 -2 2 -2 2 -3 2 -3 3 -3 3 -3 4 -5 3 -4
- 4 -4 3 -4 3 -3 2 -3 3 -3 2 -3 2 -3 2 -2
- 3 -3 2 -3 3 -3 2 -3 3 -4 3 -3 2 -2 2 -3
- 2 -3 3 -3 3 -3 3 -4 3 -5 4 -4 2 -3 3 -3
- 3 -4 2 -4 4 -4 3 -6 5 -6 4 -7 5 -7 4 -8
- 5 -9 4 -8 4 -8 3 -8 4 -8 3 -9 4 -9 3 -10
- 3 -9 3 -10 3 -9 2 -9 2 -8 1 -7 1 -6 1 -5
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- 0 -6 -1 -7 0 -7 -1 -4 0 -4 0 -4 -1 -4 -1 -4
- 0 -5 -1 -4 -1 -4 0 -4 -1 -4 -1 -4 -1 -4 -1 -3
- -1 -4 -1 -3 -1 -4 -1 -3 -1 -4 -1 -4 -2 -3 -1 -4
- -2 -3 -1 -3 -2 -3 784 1402 100 MP stroke
- -1 -4 -2 -3 -2 -3 -2 -4 -2 -3 -3 -4 -2 -4 -3 -3
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- 3 -3 2 -2 2 -3 926 924 100 MP stroke
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- -3 -5 -4 -4 -3 -4 -4 -4 -4 -5 -4 -4 -5 -5 -5 -6
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- -4 5 -4 4 -3 3 -3 3 -3 2 -3 2 -2 2 -8 5
- -8 4 -3 1 -3 2 1342 1424 100 MP stroke
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- -5 0 -6 1 -6 1 -7 1 -7 2 -7 1 -8 2 -8 2
- -8 2 -8 3 -8 3 -8 4 -8 5 -8 5 -7 5 -6 5
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- 3 4 2 4 3 3 2 3 2 3 3 3 2 3 2 2
- 2 3 2 2 2 2 2 3 2 2 2 2 2 3 2 2
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- 3 4 3 3 3 2 3 3 4 3 4 2 4 3 5 3
- 5 3 5 3 6 3 7 3 6 3 7 2 6 2 6 1
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- 5 -2 5 -1 11 2 2 3 1 3 2 5 1 6 1 7
- 1 8 1 9 2 10 1 10 2 10 2 10 2 10 2 9
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- 2 -2 2 -3 2 -2 927 923 100 MP stroke
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- 2 -3 3 -3 2 -3 2 -3 3 -3 2 -2 2 -3 3 -3
- 2 -3 2 -2 2 -3 2 -3 3 -2 2 -3 2 -2 5 -7
- 2 -2 2 -3 2 -2 2 -2 2 -3 2 -2 2 -3 2 -2
- 2 -3 3 -3 2 -3 3 -3 3 -4 3 -5 3 -5 4 -6
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- -1 -3 -2 -4 -2 -4 785 1405 100 MP stroke
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- -2 3 -2 4 -2 3 -2 3 -1 3 -2 3 -1 3 -2 4
- -2 3 -2 5 -2 4 1247 1540 100 MP stroke
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- -6 8 -5 7 -5 6 -4 5 -4 5 -4 3 -3 3 -3 3
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- 4 8 3 8 4 7 3 6 4 6 3 5 3 5 3 4
- 3 4 3 4 2 4 3 3 2 4 3 3 2 3 2 3
- 2 2 3 3 2 3 1475 1069 100 MP stroke
- 3 3 3 4 4 5 4 5 5 4 4 5 4 3 1448 1040 8 MP stroke
- 3 3 3 4 4 2 4 3 4 3 4 3 5 3 5 3
- 5 4 6 2 6 3 7 3 6 2 6 2 6 1 6 1
- 6 1 6 0 5 -1 6 -1 5 -2 6 -3 7 -4 7 -4
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- 5 -1 5 -1 4 1 3 2 2 2 1 4 2 5 1 6
- 1 7 1 9 1 11 2 11 1 7 1 6 1 6 1 7
- 2 6 1 6 2 6 1 6 2 5 2 6 3 10 5 9
- 4 8 5 7 5 6 5 7 6 5 7 5 8 5 8 4
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- 5 -4 3 -3 3 -3 3 -3 3 -2 3 -3 3 -3 2 -3
- 3 -2 2 -3 2 -2 930 919 100 MP stroke
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- -1 -3 -1 -4 -1 -3 774 1380 100 MP stroke
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- -5 4 -5 5 -4 4 -5 5 -4 6 -5 6 -5 6 -4 7
- -4 5 -3 6 -3 4 1226 1584 100 MP stroke
- -2 4 -2 4 -1 3 -2 4 -2 3 -1 3 -2 4 -2 3
- -2 4 -2 5 -3 5 -2 6 -4 7 -4 7 -4 8 -4 7
- -3 6 -3 6 -4 5 -3 5 -3 5 -4 6 -5 6 -5 6
- -4 6 -5 5 -3 4 -4 3 -3 3 -3 3 -3 2 -2 2
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- -6 8 -5 8 -5 9 -5 10 -4 10 -3 9 -3 11 -2 10
- -3 11 -1 12 -1 11 -1 11 0 11 0 10 1 10 1 10
- 2 9 2 9 2 8 3 9 3 8 3 8 4 8 3 7
- 4 7 4 6 3 5 3 5 3 5 3 4 3 4 3 4
- 2 3 3 4 2 3 1486 1082 100 MP stroke
- 2 2 3 3 2 3 2 2 2 3 2 3 2 2 3 3
- 2 3 3 3 3 4 3 3 4 3 3 4 4 3 1446 1038 16 MP stroke
- 4 3 3 3 4 3 4 3 5 3 5 3 5 3 5 4
- 6 3 6 2 7 3 6 2 6 2 6 2 5 1 6 0
- 5 0 6 0 5 -2 5 -1 6 -3 6 -3 7 -4 7 -4
- 8 -5 8 -6 8 -5 8 -5 8 -4 8 -4 6 -3 5 -2
- 5 -1 9 3 2 3 2 4 1 5 1 6 1 7 0 7
- 1 9 1 9 2 9 1 9 2 10 2 9 2 9 3 9
- 3 9 3 9 4 9 4 8 5 8 5 7 6 6 6 6
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- 2 -3 3 -2 3 -3 2 -3 3 -3 2 -2 2 -3 3 -2
- 2 -3 3 -3 3 -4 917 934 100 MP stroke
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- 2 -2 2 -3 2 -2 2 -3 3 -2 2 -3 2 -3 2 -2
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- -2 -4 -2 -4 -2 -4 786 1407 100 MP stroke
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- -4 6 -3 5 -3 5 -2 4 -3 5 -2 3 -1 4 -2 3
- -2 4 -1 4 -2 3 1238 1559 100 MP stroke
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- -5 8 -4 7 -4 8 -5 6 -4 7 -5 6 -4 6 -5 5
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- 4 8 3 8 4 6 3 7 4 6 3 5 3 5 3 5
- 4 4 2 5 3 3 3 4 2 3 3 3 2 3 2 3
- 2 2 2 3 2 2 1475 1069 100 MP stroke
- 4 5 4 4 2 3 2 2 2 3 3 2 2 3 3 3
- 3 3 3 3 3 3 1444 1035 12 MP stroke
- c1
- 3 3 4 3 4 3 5 3 4 3 6 3 5 3 6 3
- 6 3 6 3 6 2 6 2 6 2 6 1 5 0 5 0
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- 3 -3 3 -4 3 -3 3 -3 3 -3 3 -3 3 -2 2 -3
- 2 -2 2 -3 3 -3 923 927 100 MP stroke
- 3 -3 3 -4 4 -4 4 -5 4 -4 3 -4 2 -3 3 -3
- 2 -3 3 -3 2 -3 2 -3 3 -2 2 -3 2 -3 2 -2
- 2 -3 2 -2 2 -3 2 -2 3 -3 2 -3 3 -4 3 -3
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- -1 -3 -1 -4 -1 -3 774 1378 100 MP stroke
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- -7 5 -8 6 -3 3 -4 3 -4 4 -4 4 -3 3 -4 4
- -7 8 -5 7 -5 7 -4 6 -4 6 -3 5 -2 4 -2 4
- -2 4 -2 4 -2 4 1233 1569 100 MP stroke
- -2 4 -2 4 -2 4 -3 5 -2 6 -3 6 -4 6 -3 8
- -4 7 -5 9 -5 8 -5 9 -5 8 -5 8 -6 7 -4 7
- -5 5 -4 5 -4 4 -3 4 -3 3 -3 2 -3 3 -3 2
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- -5 0 -5 1 -6 1 -6 1 -6 1 -7 1 -6 2 -8 1
- -7 2 -7 2 -7 3 -7 2 -6 3 -6 3 -6 3 -6 4
- -6 4 -5 4 -5 5 -6 6 -5 6 -6 7 -5 8 -5 9
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- -1 10 -1 11 0 12 1 12 1 12 2 11 2 10 2 10
- 3 9 3 9 4 8 3 7 4 7 3 7 4 6 3 5
- 3 5 4 5 3 5 3 4 2 4 3 3 3 3 2 4
- 2 2 2 3 2 3 3 2 2 3 2 2 2 3 2 2
- 2 3 2 2 3 3 1461 1053 100 MP stroke
- 2 3 2 2 3 3 2 2 3 3 3 2 3 3 3 3
- 1440 1032 9 MP stroke
- gr
- c0
- end
- eplot
- epage
- end
- showpage
- %%EndDocument
- @endspecial 841 2055 a
- currentpoint currentpoint translate 1 0.59676 div 1 0.59676 div scale
- neg exch neg exch translate
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- 812 2083 907 4 v 1214 2155 a Fx((d))-83 2321 y Fe(Figure)27
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- y Fx(W)-7 b(e)43 b(ha)n(v)o(e)e(introduced)e(a)j(ne)n(w)g(e)o(xternal)e
- (force)h(model)g(for)-182 3570 y(snak)o(es)24 b(called)h(gradient)e(v)o
- (ector)h( 03o)n(w)h((GVF).)f(The)g( 02eld)h(is)h(cal-)-182
- 3670 y(culated)19 b(as)h(a)h(dif)n(fusion)d(of)i(the)g(gradient)e(v)o
- (ectors)h(of)h(a)g(gray-le)n(v)o(el)-182 3770 y(or)h(binary)g(edge)g
- (map.)30 b(W)-7 b(e)23 b(ha)n(v)o(e)f(sho)n(wn)f(that)h(it)h(allo)n(ws)
- f(for)f( 03e)o(x-)-182 3869 y(ible)h(initialization)f(of)h(the)g(snak)
- o(e)g(and)g(encourages)e(con)m(v)o(er)o(gence)-182 3969
- y(to)g(boundary)d(conca)n(vities.)-83 4069 y(Further)28
- b(in)m(v)o(estigations)e(into)i(the)h(nature)e(and)h(uses)h(of)f(GVF)
- -182 4169 y(are)e(w)o(arranted.)42 b(A)27 b(complete)e
- (characterization)f(of)j(the)f(capture)-182 4268 y(range)j(of)h(the)g
- (GVF)h( 02eld)g(w)o(ould)e(help)h(in)h(snak)o(e)f(initialization)-182
- 4368 y(procedures.)g(In)m(v)o(estigations)20 b(into)i(the)h(optimal)f
- (selection)g(of)h(the)-182 4467 y(GVF)36 b(parameter)f
- Fm( 26)p Fx(,)41 b(and)36 b(the)g(interplay)f(between)g
- Fm( 26)i Fx(and)f(the)-182 4567 y(snak)o(e)25 b(parameters)f
- Fm( 13)j Fx(and)e Fm( 14)30 b Fx(are)c(desirable.)40
- b(Finally)-5 b(,)26 b(the)f(GVF)-182 4667 y(frame)n(w)o(ork)17
- b(might)h(be)h(useful)f(in)i(de 02ning)d(ne)n(w)i(connections)e(be-)
- -182 4766 y(tween)g(parametric)f(and)h(geometric)f(snak)o(es,)i(and)f
- (might)g(form)g(the)-182 4866 y(basis)j(for)g(a)h(ne)n(w)f(geometric)e
- (snak)o(e.)-182 5075 y Ft(Ackno)o(wledgments)-83 5284
- y Fx(The)25 b(authors)e(w)o(ould)h(lik)o(e)h(to)g(thank)f(Dzung)g
- (Pham,)h(Sandeep)-182 5384 y(Gupta,)19 b(and)i(Prof.)k(Joel)c(Spruck)e
- (for)h(their)h(discussions)f(concern-)-182 5484 y(ing)f(this)i(w)o
- (ork.)1974 242 y Fr(Refer)n(ences)2025 448 y Fb([1])42
- b(V)-10 b(.)27 b(Caselles,)j(F)-6 b(.)26 b(Catte,)j(T)-6
- b(.)28 b(Coll,)h(and)f(F)-6 b(.)27 b(Dibos.)55 b(A)28
- b(geometric)2154 540 y(model)c(for)g(acti)n(v)o(e)g(contours.)44
- b Fa(Numerisc)o(he)24 b(Mathematik)p Fb(,)h(66:1226)2154
- 631 y(31,)19 b(1993.)2025 718 y([2])42 b(A.)23 b(H.)g(Charles)h(and)h
- (T)-6 b(.)23 b(A.)g(Porsching.)44 b Fa(Numerical)24 b(Analysis)f(of)
- 2154 809 y(P)-6 b(artial)29 b(Dif)o(fer)m(ential)h(Equations)p
- Fb(.)64 b(Prentice)30 b(Hall,)i(Engel)o(w)o(ood)2154
- 900 y(Clif)n(fs,)17 b(NJ,)i(1990.)2025 987 y([3])42 b(I.)23
- b(Cohen,)k(L.)c(D.)h(Cohen,)j(and)e(N.)f(A)-7 b(yache.)46
- b(Using)24 b(deformable)2154 1078 y(surf)o(aces)d(to)f(se)o(gment)h
- (3-D)g(images)g(and)g(infer)f(dif)n(ferential)g(struc-)2154
- 1169 y(tures.)32 b Fa(CVGIP:)19 b(Ima)o(g)o(e)j(Under)o(standing)p
- Fb(,)h(56(2):242226263,)g(Sept.)2154 1261 y(1992.)2025
- 1347 y([4])42 b(L.)36 b(D.)h(Cohen.)87 b(On)38 b(acti)n(v)o(e)g
- (contour)g(models)h(and)f(balloons.)2154 1439 y Fa(CVGIP:)17
- b(Ima)o(g)o(e)j(Under)o(standing)p Fb(,)h(53(2):211226218,)h(Mar)l
- (.)c(1991.)2025 1525 y([5])42 b(L.)14 b(D.)h(Cohen)h(and)g(I.)f(Cohen.)
- 20 b(Finite-element)15 b(methods)h(for)f(acti)n(v)o(e)2154
- 1617 y(contour)j(models)h(and)f(balloons)h(for)e(2-D)h(and)g(3-D)g
- (images.)25 b Fa(IEEE)2154 1708 y(T)l(r)o(ans.)19 b(on)i(P)-6
- b(attern)19 b(Anal.)h(Mac)o(hine)h(Intell.)p Fb(,)e
- (15(11):11312261147,)2154 1799 y(No)o(v)-5 b(.)19
- b(1993.)2025 1886 y([6])42 b(R.)e(Courant)h(and)g(D.)f(Hilbert.)95
- b Fa(Methods)42 b(of)f(Mathematical)2154 1977 y(Physics)p
- Fb(,)18 b(v)o(olume)i(1.)27 b(Interscience,)19 b(Ne)n(w)g(Y)-8
- b(ork,)18 b(1953.)2025 2064 y([7])42 b(C.)27 b(Da)o(v)n(atzik)o(os)i
- (and)f(J.)g(L.)f(Prince.)55 b(An)28 b(acti)n(v)o(e)g(contour)h(model)
- 2154 2155 y(for)23 b(mapping)j(the)e(corte)o(x.)43 b
- Fa(IEEE)22 b(T)l(r)o(ans.)i(on)g(Medical)h(Ima)o(ging)p
- Fb(,)2154 2247 y(14(1):6522680,)20 b(Mar)l(.)f(1995.)2025
- 2333 y([8])42 b(S.)24 b(N.)h(Gupta)h(and)g(J.)f(L.)g(Prince.)48
- b(Stochastic)25 b(models)h(for)g(DIV-)2154 2425 y(CURL)c(optical)i
- ( 03o)n(w)f(methods.)43 b Fa(IEEE)22 b(Signal)i(Pr)m(ocessing)g(Let-)
- 2154 2516 y(ter)o(s)p Fb(,)18 b(3(2):3222635,)j(1996.)2025
- 2603 y([9])42 b(B.)18 b(K.)g(P)-8 b(.)17 b(Horn)i(and)g(B.)f(G.)g
- (Schunck.)27 b(Determining)19 b(optical)g( 03o)n(w)-5
- b(.)2154 2694 y Fa(Arti 02cial)18 b(Intellig)o(ence)p
- Fb(,)h(17:185226203,)j(1981.)1988 2781 y([10])42 b(M.)26
- b(Kass,)i(A.)d(W)m(itkin,)j(and)f(D.)e(T)-5 b(erzopoulos.)52
- b(Snak)o(es:)38 b(Acti)n(v)o(e)2154 2872 y(contour)c(models.)76
- b Fa(Int.)33 b(J)n(.)g(Computer)i(V)-6 b(ision)p Fb(,)37
- b(1(4):321226331,)2154 2963 y(1987.)1988 3050 y([11])42
- b(B.)24 b(Lero)o(y)-5 b(,)27 b(I.)d(Herlin,)i(and)g(L.)e(D.)h(Cohen.)47
- b(Multi-resolution)26 b(al-)2154 3141 y(gorithms)h(for)f(acti)n(v)o(e)h
- (contour)g(models.)52 b(In)26 b Fa(12th)h(International)2154
- 3233 y(Confer)m(ence)20 b(on)g(Analysis)f(and)i(Optimization)e(of)g
- (Systems)p Fb(,)g(pages)2154 3324 y(5822665,)h(1996.)1988
- 3411 y([12])42 b(F)-6 b(.)16 b(Le)o(ymarie)h(and)g(M.)g(D.)g(Le)n
- (vine.)23 b(T)m(racking)18 b(deformable)g(objects)2154
- 3502 y(in)i(the)g(plane)h(using)g(an)g(acti)n(v)o(e)f(contour)h(model.)
- 32 b Fa(IEEE)19 b(T)l(r)o(ans.)h(on)2154 3593 y(P)-6
- b(attern)19 b(Anal.)f(Mac)o(hine)i(Intell.)p Fb(,)e
- (15(6):617226634,)j(1993.)1988 3680 y([13])42 b(R.)14
- b(Malladi,)i(J.)f(A.)g(Sethian,)h(and)g(B.)f(C.)f(V)-8
- b(emuri.)19 b(Shape)d(modeling)2154 3771 y(with)23 b(front)g
- (propagation:)33 b(A)24 b(le)n(v)o(el)f(set)g(approach.)43
- b Fa(IEEE)22 b(T)l(r)o(ans.)2154 3863 y(on)d(P)-6 b(attern)19
- b(Anal.)f(Mac)o(hine)i(Intell.)p Fb(,)e(17(2):158226175,)k(1995.)
- 1988 3949 y([14])42 b(J.)29 b(L.)g(Prince)g(and)h(C.)f(Xu.)62
- b(A)29 b(ne)n(w)h(e)o(xternal)g(force)g(model)g(for)2154
- 4041 y(snak)o(es.)53 b(In)27 b Fa(1996)g(Ima)o(g)o(e)h(and)g
- (Multidimensional)g(Signal)f(Pr)m(o-)2154 4132 y(cessing)19
- b(W)-7 b(orkshop)p Fb(,)21 b(pages)f(3022631,)g(1996.)1988
- 4219 y([15])42 b(H.)23 b(T)-5 b(ek)23 b(and)i(B.)e(B.)g(Kimia.)42
- b(Image)24 b(se)o(gmentation)h(by)f(reaction-)2154 4310
- y(dif)n(fusion)30 b(b)o(ubbles.)62 b(In)30 b Fa(Pr)m(oc.)f(F)m(ifth)g
- (Int.)g(Conf)o(.)g(on)i(Computer)2154 4401 y(V)-6 b(ision)p
- Fb(,)18 b(pages)i(156226162,)h(1995.)1988 4488 y([16])42
- b(D.)20 b(T)-5 b(erzopoulos)23 b(and)f(K.)f(Fleischer)l(.)34
- b(Deformable)22 b(models.)36 b Fa(The)2154 4579 y(V)-6
- b(isual)19 b(Computer)p Fb(,)g(4:306226331,)i(1988.)1988
- 4666 y([17])42 b(D.)33 b(T)-5 b(erzopoulos)36 b(and)e(R.)g(Szeliski.)75
- b(T)m(racking)35 b(with)f(Kalman)2154 4757 y(snak)o(es.)23
- b(In)16 b(A.)g(Blak)o(e)h(and)g(A.)f(Y)-8 b(uille,)16
- b(editors,)h Fa(Active)f(V)-6 b(ision)p Fb(,)17 b(Ar)o(-)2154
- 4848 y(ti 02cial)d(Intelligence,)i(pages)h(322620.)f(The)f(MIT)h
- (Press,)f(Cambridge,)2154 4940 y(Massachusetts,)20 b(1992.)1988
- 5026 y([18])42 b(C.)19 b(Xu)i(and)g(J.)f(L.)f(Prince.)31
- b(Snak)o(es,)22 b(shapes,)f(and)g(gradient)g(v)o(ector)2154
- 5118 y( 03o)n(w)-5 b(.)26 b Fa(IEEE)18 b(T)l(r)o(ans.)g(on)i(Ima)o(g)o
- (e)g(Pr)m(ocessing)p Fb(.)27 b(to)19 b(appear)l(.)1988
- 5204 y([19])42 b(C.)24 b(Xu)h(and)h(J.)e(L.)g(Prince.)46
- b(Snak)o(es,)27 b(shapes,)g(and)f(gradient)f(v)o(ec-)2154
- 5296 y(tor)f( 03o)n(w)-5 b(.)44 b(T)-5 b(echnical)24
- b(Report)h(JHU-ECE)e(TR96-15,)j(The)e(Johns)2154 5387
- y(Hopkins)c(Uni)n(v)o(ersity)-5 b(,)19 b(Oct.)f(1996.)p
- eop
- %%Trailer
- end
- userdict /end-hook known{end-hook}if
- %%EOF