3D Pose Regression using Convolutional Neural Networks

18 Aug 2017 Siddharth Mahendran Haider Ali Rene Vidal

3D pose estimation is a key component of many important computer vision tasks such as autonomous navigation and 3D scene understanding. Most state-of-the-art approaches to 3D pose estimation solve this problem as a pose-classification problem in which the pose space is discretized into bins and a CNN classifier is used to predict a pose bin... (read more)

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