Ray Divergence-Based Bundle Adjustment Conditioning for Multi-view Stereo

Mauricio Hess-Flores; Daniel Knoblauch; Mark A. Duchaineau; Kenneth I. Joy; Falko Kuester

doi:10.1007/978-3-642-25367-6_14

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Ray Divergence-Based Bundle Adjustment Conditioning for Multi-view Stereo

Mauricio Hess-Flores Daniel Knoblauch Mark A. Duchaineau Kenneth I. Joy Falko Kuester

Year: 2011 Lecture notes in computer science Pages: 153-164 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-25367-6_14

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Keywords:

Bundle adjustment Divergence (linguistics) Artificial intelligence Reprojection error Weighting Feature (linguistics) Computer vision Bundle Histogram Matching (statistics) Convergence (economics) Computer science Set (abstract data type) Pattern recognition (psychology) Mathematics Algorithm Image (mathematics) Statistics

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Ray Divergence-Based Bundle Adjustment Conditioning for Multi-view Stereo

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