Recovering 6d object pose and predicting next-best-view in the crowd
Doumanoglou, Andreas, et al. “Recovering 6d object pose and predicting next-best-view in the crowd.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
工作大概是這樣的：對於一個物體，取很多小塊RGB-D資料；每小塊有一個座標（相對於物體座標系）；然後，首先用一個自編碼器對資料進行降維；之後，用將降維後的特徵用於訓練Hough Forest。
這樣，在實際物體檢測的時候，就可以通過在物體表面取樣RGB-D資料，之後，估計出一個位姿。
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