0000000000369273

AUTHOR

José Jesús Guerrero

showing 2 related works from this author

Unsupervised learning of category-specific symmetric 3D keypoints from point sets

2020

Lecture Notes in Computer Science, 12370

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]FOS: Computer and information sciencesComputer sciencePlane symmetryComputer Vision and Pattern Recognition (cs.CV)Point cloudComputer Science - Computer Vision and Pattern Recognition02 engineering and technology010501 environmental sciences01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Linear basis0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDEDUCATIONPoint (geometry)0105 earth and related environmental sciencesbusiness.industryCategory specific[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognition16. Peace & justiceBenchmark (computing)Unsupervised learning020201 artificial intelligence & image processingArtificial intelligenceSymmetry (geometry)business
researchProduct

Line reconstruction using prior knowledge in single non-central view

2016

International audience; Line projections in non-central systems contain more geometric information than in central systems. The four degrees of freedom of the 3D line are mapped to the line-image and the 3D line can be theoretically recovered from 4 projecting rays (i.e. line-image points) from a single non-central view. In practice, extraction of line-images is consid- erably more difficult and the resulting reconstruction is imprecise and sensitive to noise. In this paper we present a minimal solution to recover the geometry of the 3D line from only three line-image points when the line is parallel to a given plane. A second minimal solution allows to recover the 3D line from two points w…

Computer sciencebusiness.industryPlane (geometry)Pipeline (computing)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyDegrees of freedom (mechanics)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesExtractor[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0103 physical sciencesLine (geometry)Vertical direction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionNoise (video)Artificial intelligence010306 general physicsbusinessPlucker
researchProduct