Depth-encoded hough voting for joint object detection and shape recovery

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

Volumn 6315 LNCS, Issue PART 5, 2010, Pages 658-671

  Sun, Min ^a   Bradski, Gary ^b   Xu, Bing Xin ^a   Savarese, Silvio ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b Willow Garage Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELING; COMPUTER VISION; DEGREES OF FREEDOM (MECHANICS); OBJECT RECOGNITION; SHAPE OPTIMIZATION; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D OBJECT MODELING; 3D SHAPE RECONSTRUCTION; APPLICATION SCENARIO; CRITICAL PROBLEMS; EXPERIMENTAL ANALYSIS; PROCESS OF LEARNING; ROBOTICS APPLICATIONS; UNCALIBRATED IMAGES;

OBJECT DETECTION;

EID: 78149299059     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15555-0_48     Document Type: Conference Paper

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