Advancing Dense Stereo Correspondence with the Infection Algorithm

Francisco Fernández de Vega; Gustavo Olague; Cynthia B. Pérez; Évelyne Lutton

doi:10.1007/978-3-540-77475-4_19

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Advancing Dense Stereo Correspondence with the Infection Algorithm

Francisco Fernández de Vega Gustavo Olague Cynthia B. Pérez Évelyne Lutton

Year: 2008 Studies in computational intelligence Pages: 305-324 Publisher: Springer Nature

DOI: 10.1007/978-3-540-77475-4_19

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Keywords:

Matching (statistics) Computer science Cellular automaton Artificial intelligence Algorithm Pixel Image (mathematics) Automaton Stereopsis Computer vision Mathematics

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advancing Dense Stereo Correspondence with the Infection Algorithm

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