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Pose clustering - PowerPoint PPT Presentation


Recognition Scene understanding / visual object categorization Pose clustering

Recognition Scene understanding / visual object categorization Pose clustering

Kapitel 14. Recognition Scene understanding / visual object categorization Pose clustering Object recognition by local features Image categorization Bag - of -features models Large- scale image search. TexPoint fonts used in EMF.

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583 views • 40 slides



Matching in 2D

Matching in 2D

Matching in 2D. Mapping: Scaling Rotation Translation Warp. Introduction. How to make and use correspondences between images and maps, images and models, images and other images All work is done in two dimensions. Registration of 2D Data.

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509 views • 26 slides


A 3-D reference frame can be uniquely defined by the ordered vertices of a non-degenerate triangle

A 3-D reference frame can be uniquely defined by the ordered vertices of a non-degenerate triangle

A 3-D reference frame can be uniquely defined by the ordered vertices of a non-degenerate triangle. p 1. p 2. p 3. Pattern Matching: Naive algorithm. For each pair of triplets, one from each molecule which define ‘almost’ congruent triangles compute the rigid motion that superimposes them .

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216 views • 15 slides


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