Weak Hypotheses and Boosting for Generic Object Detection and Recognition
- 1 January 2004
- book chapter
- Published by Springer Nature in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Object recognition using boosted discriminantsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Object class recognition by unsupervised scale-invariant learningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Fusion of global and local information for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Selection of scale-invariant parts for object class recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Learning a Sparse Representation for Object DetectionLecture Notes in Computer Science, 2002
- Object recognition from local scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- A MORPHOLOGICAL OPERATOR FOR CORNER DETECTIONPattern Recognition, 1998
- Efficient Learning with Virtual Threshold GatesInformation and Computation, 1998
- Affine / photometric invariants for planar intensity patternsPublished by Springer Nature ,1996
- A Combined Corner and Edge DetectorPublished by British Machine Vision Association and Society for Pattern Recognition ,1988