Precision improvement of RGD-D camera with photometric stereo method

Hanwei Xiong; Jun Xu; Chenxi Xu; Ming Pan

doi:10.1117/12.2247543

1 November 2016 Precision improvement of RGD-D camera with photometric stereo method

Hanwei Xiong, Jun Xu, Chenxi Xu, Ming Pan

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101573N (2016) https://doi.org/10.1117/12.2247543
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

A RGB-D camera such as Microsoft Kinect can capture 3D depth data and color images simultaneously in real time. The main shortcoming is that the precision of the depth data is lower than other usual 3D scan systems. The color images with higher resolution can be used to compensate for such loss. In computer vision, shape from photometric stereo is used to capture shape from multiple images illuminated with different light sources. The details of the shape are represented by its local normal. In this paper, a controlled three light sources illumination system is designed to support Kinect sensor, and the normal maps are captured at 10HZ. An energy spline model is used to fuse the depth map and normal map, and results in a high quality shape. Some experiments are presented to verify the methods.

Citation Download Citation

Hanwei Xiong, Jun Xu, Chenxi Xu, and Ming Pan "Precision improvement of RGD-D camera with photometric stereo method", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573N (1 November 2016); https://doi.org/10.1117/12.2247543

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available