Application of differential geometry to recognize and locate partially occluded objects

Author:

Ray Kumar S.,Dutta Majumder D.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. A model-based vision system to identify and locate partially visible industrial parts;Ayache,1983

2. HYPER: A new approach for the recognition and position of two-dimensional objects;Ayache;IEEE Trans. Pattern Anal. Machine Intell.,1986

3. The curvature primal sketch;Asada,1984

4. An overview of three-dimensional object recognition;Besl,1984

5. Surface characterization for three-dimensional object recognition in depth map;Besl,1984

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1. Object Recognition with Belief Revision: Hypothesis Generation and Belief Revision Paradigm;Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves;2013-02-19

2. Neuro-Fuzzy Approach to Occluded Object Recognition Based on New Interpretation of MFI;Soft Computing Approach to Pattern Classification and Object Recognition;2012

3. Soft Computing Approach to Pattern Classification and Object Recognition;Soft Computing Approach to Pattern Classification and Object Recognition;2012

4. A reinforced random algorithm for a partial contour perceptual similarity problem;Pattern Recognition Letters;1998-03

5. Neuro-fuzzy reasoning for occluded object recognition;Fuzzy Sets and Systems;1998-02

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