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ACCV
2007
Springer

Information Fusion for Multi-camera and Multi-body Structure and Motion

13 years 9 months ago
Information Fusion for Multi-camera and Multi-body Structure and Motion
Information fusion algorithms have been successful in many vision tasks such as stereo, motion estimation, registration and robot localization. Stereo and motion image analysis are intimately connected and can provide complementary information to obtain robust estimates of scene structure and motion. We present an information fusion based approach for multi-camera and multi-body structure and motion that combines bottom-up and top-down knowledge on scene structure and motion. The only assumption we make is that all scene motion consists of rigid motion. We present experimental results on synthetic and nonsynthetic data sets, demonstrating excellent performance compared to binocular based state-of-the-art approaches for structure and motion.
Alexander Andreopoulos, John K. Tsotsos
Added 06 Jun 2010
Updated 06 Jun 2010
Type Conference
Year 2007
Where ACCV
Authors Alexander Andreopoulos, John K. Tsotsos
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