ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-P8.3
Session:Image/Video Processing Applications: Object Detection and Recognition
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Topic: Other Areas and Applications: Object recognition
Title: OBJECT DETECTION AND RECOGNITION VIA DEFORMABLE ILLUMINATION AND DEFORMABLE SHAPE
Authors: Qiang Zhou; Chrontel, Inc. 
 Limin Ma; Ohio University 
 Mehmet Celenk; Ohio University 
 David Chelberg; Ohio University 
Abstract: Detecting and recognizing objects in unstructured environments is one of the most challenging tasks in computer vision research. We propose an innovative algorithm, called deformable illumination, to address the problem of illumination variance in natural environments. Parallel to the role of deformable shape in object recognition, deformable illumination is designed as an object detection technique. A unified framework presented here integrates both deformable illumination and deformable shape as a simultaneous scheme for object detection and recognition in unstructured environments. Experimental results show the effectiveness of deformable illumination in addressing illumination variance.