Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts

11 Jun 2019Zhile RenErik B. Sudderth

We develop new representations and algorithms for three-dimensional (3D) object detection and spatial layout prediction in cluttered indoor scenes. We first propose a clouds of oriented gradient (COG) descriptor that links the 2D appearance and 3D pose of object categories, and thus accurately models how perspective projection affects perceived image gradients... (read more)

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