DPOD: 6D Pose Object Detector and Refiner

Ivan Shugurov
Ivan Shugurov

International Conference on Computer Vision, pp. 1941-1950, 2019.

Cited by: 25|Views43
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Abstract:

In this paper we present a novel deep learning method for 3D object detection and 6D pose estimation from RGB images. Our method, named DPOD (Dense Pose Object Detector), estimates dense multi-class 2D-3D correspondence maps between an input image and available 3D models. Given the correspondences, a 6DoF pose is computed via PnP and RANS...More

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