Real-time rigid object pose estimation: real-world scenario

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Results obtained with our real-time combined sparse and dense pose estimator in a complex real-world scenario. For more details see the following paper:

Pauwels, Karl; Rubio, Leo; Diaz Alonso, Javier; Ros, Eduardo. Real-time model-based rigid object pose estimation and tracking combining dense and sparse visual cues. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2347-2354, Portland, 2013.

  1. Karl Pauwels
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