Books > Computing & IT > General theory of computing
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2D Twins Face Comparison and Error Finding (Paperback)
Loot Price: R1,211
Discovery Miles 12 110
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2D Twins Face Comparison and Error Finding (Paperback)
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Donate to Against Period Poverty
Total price: R1,231
Discovery Miles: 12 310
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This book describes a curvature-based corner detector that detects
both fine and coarse features accurately at low computational cost.
First, it extracts contours from a Canny edge map. Second, it
computes the absolute value of curvature of each point on a contour
at a low scale and regards local maxima of absolute curvature as
initial corner candidates. Third, it uses an adaptive curvature
threshold to remove round corners from the initial list. Finally,
false corners due to quantization noise and trivial details are
eliminated by evaluating the angles of corner candidates in a
dynamic region of support. This book proposes a method to extract
the feature points from faces automatically. It provides a feasible
way to locate the positions of two eyeballs, near and far corners
of eyes, midpoint of nostrils and mouth corners from face image.
This approach would help to extract useful features on human face
automatically and improve the accuracy of face recognition. The
experiments show that the method presented in this paper could
locate feature points from faces exactly and quickly and the goal
of this book is to compare and finding error of images of
twins(identical & non-identical)
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