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Recent advances in imaging technique have resulted in an explosion in the use of multi-modal images in a variety of fields, such as scene reconstruction, pose estimation and video surveillance. The popular multi-modal sensors include LiDAR, visual RGB, infrared sensors, consumer RGBD cameras, and Time-of-Flight sensors. The integration of images from these multiple sensors can provide complementary information and therefore increase the accuracy with an observed and characterized quantity. This project addresses the problem of multi-modal image analysis.
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