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Technical Program
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
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| 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. |
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