DIRECT COMPUTATION OF QUALITATIVE 3-D SHAPE AND MOTION INVARIANTS

被引:6
|
作者
WEINSHALL, D
机构
[1] Center for Biological Information Processing, Massachusettes Institute of Technology, Cambridge, MA
关键词
FOCUS OF EXPANSION; GAUSSIAN CURVATURE; MOTION; QUALITATIVE VISION; STRUCTURE FROM MOTION; SURFACE CLASSIFICATION;
D O I
10.1109/34.106997
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Structure from motion often refers to the computation of 3-D structure from a matched sequence of images. However, a depth map of a surface is difficult to compute and may not be a good representation for storage and recognition. Given matched images, this correspondence will show that the sign of the normal curvature in a given direction at a given point in the image can be computed from a simple difference of slopes of line segments in one image. Using this result, local surface patches can be classified as convex, concave, cylindrical, hyperbolic (saddle point) or planar. At the same time, the translational component of the optical flow is obtained, from which the focus of expansion can be computed.
引用
收藏
页码:1236 / 1240
页数:5
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