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High Quality Photometric Reconstruction using a Depth Camera

Haque, Mohammadul Sk and Chatterjee, Avishek and Govindu, Venu Madhav (2014) High Quality Photometric Reconstruction using a Depth Camera. In: 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), JUN 23-28, 2014, Columbus, OH, pp. 2283-2290.

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Abstract

In this paper we present a depth-guided photometric 3D reconstruction method that works solely with a depth camera like the Kinect. Existing methods that fuse depth with normal estimates use an external RGB camera to obtain photometric information and treat the depth camera as a black box that provides a low quality depth estimate. Our contribution to such methods are two fold. Firstly, instead of using an extra RGB camera, we use the infra-red (IR) camera of the depth camera system itself to directly obtain high resolution photometric information. We believe that ours is the first method to use an IR depth camera system in this manner. Secondly, photometric methods applied to complex objects result in numerous holes in the reconstructed surface due to shadows and self-occlusions. To mitigate this problem, we develop a simple and effective multiview reconstruction approach that fuses depth and normal information from multiple viewpoints to build a complete, consistent and accurate 3D surface representation. We demonstrate the efficacy of our method to generate high quality 3D surface reconstructions for some complex 3D figurines.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 30 Oct 2015 06:46
Last Modified: 30 Oct 2015 06:46
URI: http://eprints.iisc.ac.in/id/eprint/52659

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