Learning photometric invariance for object detection

International Journal of Computer Vision

Volumn 90, Issue 1, 2010, Pages 45-61

  Álvarez, Jose M ^a   Gevers, Theo ^a,b   López, Antonio M ^a  

^a Barcelona Perception Computing Lab   (Spain)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Color models; Combining classifiers; Diversified ensembles; Learning; Object detection; Photometric invariance

Indexed keywords

COLOR INVARIANTS; COLOR MODELS; COMBINING CLASSIFIERS; COMPUTER VISION APPLICATIONS; DATA UNCERTAINTY; DETECTION TECHNIQUE; DICHROMATIC REFLECTANCE; ESTIMATION ERRORS; FUSION METHODS; FUTURE OBSERVATIONS; IMAGE DATASETS; IMAGING CONDITIONS; LAMBERTIAN; LEARNING OBJECTS; MULTI-VIEWS; OBJECT DETECTION; PARAMETER-TUNING; PHOTOMETRIC INVARIANCE; REAL-WORLD; REFLECTION MODELS; ROAD RECOGNITION; SEQUENTIAL DATA; TEMPORAL DATA;

CLASSIFIERS; COMPUTER APPLICATIONS; COMPUTER VISION; IMAGE SEGMENTATION; MOBILE TELECOMMUNICATION SYSTEMS; OBJECT RECOGNITION; PHOTOMETRY; REFLECTION;

COLOR;

EID: 77954084787     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0336-8     Document Type: Article

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