Titlebook: Object Representation in Computer Vision; International NSF-AR Martial Hebert,Jean Ponce,Ari Gross Conference proceedings 1995 Springer-Ver

Insufficient

Appearance-based 3D object recognition,-line-segment features for recognition. We believe that general object recognition can only be accomplished by utilizing the appropriate sensors for each object class and the appropriate features that can be reliably extracted using those sensors. We also believe that the analysis of complex scenes

半导体

Limited

过于平凡

话

The epipolar parametrization,cal parametric representation which is a mesh. One of the advantages of this type of representation is that it is general and applies to any piecewise smooth surface, so it does not restrict the type of surface in any practical way. Local parametric representations can be combined into a global one

PACT

Using two-dimensional models to interact with the three-dimensional world,. The method is based on matching two-dimensional geometric structures between successive frames of an image sequence. A bitmap representing the object being tracked at one time frame is matched to features extracted from the image at the next time frame. The transformation mapping the object to the

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蜈蚣

Algebraic geometry and object representation in computer vision,faces having considerable advantages as objects of study in computer vision, the relevance of algebraic geometry when dealing with the representation of polynomial objects seems only natural. However, due to its high level of abstraction, this mathematical field has seen only few applications in com

耐寒

organism