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RESEARCH PRODUCT
Two View Line-Based Motion and Structure Estimation for Planar Scenes
Saleh MosaddeghDavid FofiPascal Vasseursubject
Surface (mathematics)Computer engineering. Computer hardwareMatching (graph theory)Line correspondenceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyVideo AnalysisTranslation (geometry)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]TK7885-7895Motion[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Line segment0202 electrical engineering electronic engineering information engineeringComputer visionVanishing pointComputingMilieux_MISCELLANEOUSMathematicsTwo viewsbusiness.industryTracking[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringKeywordsQA75.5-76.953D and StereoReal imageElectronic computers. Computer scienceLine (geometry)Piece-wise planar scene020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessStructure and MotionRotation (mathematics)Softwaredescription
We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspon- dence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real images prove the functionality of the algorithm.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 |