Edge replacement in the recognition of occluded objects

Author:

Ullmann Julian R

Publisher

Elsevier BV

Subject

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

Reference30 articles.

1. Efficient systematic analysis of occlusion;Cooper;Pattern Recognition Lett.,1988

2. Visual Occlusion and the Interpretation of Ambiguous Pictures;Cooper,1992

3. Analysis of two-dimensional occlusion by subtracting out;Ullmann;IEEE Trans. Pattern Analysis Mach. Intell. PAMI-14,1992

4. Recognising and locating partially visible objects: the local-feature-focus method;Bolles;Int. J. Robotics Res.,1982

5. Recognition of occluded objects: a cluster-structure algorithm;Bhanu;Pattern Recognition,1987

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1. Three-dimensional recognition of occluded objects by using computational integral imaging;Optics Letters;2006-04-15

2. Detection of partial occlusions of assembled components to simplify the disassembly tasks;The International Journal of Advanced Manufacturing Technology;2005-11-18

3. Connectionist object recognition: Methods and methodologies;International Journal of Systems Science;1999-01

4. Unsupervised clustering in Hough space for identification of partially occluded objects;IEEE Transactions on Pattern Analysis and Machine Intelligence;1999

5. Delayed reinforcement learning for adaptive image segmentation and feature extraction;IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews);1998

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