Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; 11th International C Marcello Pelillo,Edwin Hancock Conference proc

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Energy Minimization Methods in Computer Vision and Pattern Recognition11th International C

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https://doi.org/10.1007/978-3-662-58125-4verlapping/connected blocks. We solve for a feature space embedding in the spatio-temporal space by enforcing temporal constraints using optical flow and long term tracks as a least-squares problem. We evaluate our approach on outdoor driving benchmarks - KITTI and Cityscapes dataset.

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https://doi.org/10.1007/978-3-322-83863-6nges from a pre-computed flow this measure allows us to reliably identify poor matches even in the presence of varying illumination. Secondly, in contrast to many existing pipeline approaches, we propose to integrate only feature matches that have been obtained from dense variational methods. This i