Accelerating integral histograms using an adaptive approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5099 LNCS, Issue , 2008, Pages 209-217

  Müller, Thomas ^a   Lenz, Claus ^a   Barner, Simon ^a   Knoll, Alois ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Adaptive Approximation; Computer Vision; Early Processing; Integral Histogram; Object Recognition; Tracking

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DATA STRUCTURES; FILE ORGANIZATION; IMAGE PROCESSING; SIGNAL PROCESSING;

ADAPTIVE APPROACH; ADAPTIVE APPROXIMATION; COMPUTATIONAL COSTS; EARLY PROCESSING; INPUT IMAGES; INTEGRAL HISTOGRAM; INTERNATIONAL CONFERENCES; OBJECT RECOGNITION; ORIGINAL ALGORITHMS; PERFORMANCE IMPROVEMENTS; REAL-TIME APPLICATIONS; REASONABLE ACCURACY; TRACKING;

INTEGRAL EQUATIONS;

EID: 49049100690     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69905-7_24     Document Type: Conference Paper

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