Dynamic Programming and Graph Algorithms in Computer Vision

Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization techniques are especially interesting since, by carefully exploiting problem structure, they often provide nontrivial gua...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 33; no. 4; pp. 721 - 740
Main Authors:	Felzenszwalb, P F, Zabih, R
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.04.2011 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithmics. Computability. Computer arithmetics Algorithms Application software Applied sciences Artificial intelligence Combinatorial algorithms Computer science Computer science; control theory; systems Computer Simulation Computer vision computing methodologies Dynamic programming Exact sciences and technology Graphs Image Enhancement - methods Image Processing, Computer-Assisted - methods Information retrieval. Graph Intelligence Interactive Layout Object segmentation Optimization Optimization methods Pattern analysis Pattern recognition. Digital image processing. Computational geometry Probability Stereo vision Theoretical computing Vision vision and scene understanding Vision, Ocular - physiology Computer vision Stereo image processing Image interpretation Combinatorial problem computing methodologies Modeling Optimization Image segmentation Combinatorial algorithms Scene analysis vision and scene understanding Problem solving Discrete programming Stereopsis Artificial intelligence
ISSN:	0162-8828, 1939-3539, 1939-3539
Online Access:	Get full text
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