吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1987-1993.doi: 10.13229/j.cnki.jdxbgxb201506036

Previous Articles     Next Articles

Novel closed-form GBR solution in application of three-dimensional surface detection

LIN Xin-tang1, LI Yan-dong2, WU Pan-chao1   

  1. 1.College of Automation, Harbin Engineering University, Harbin 150001,China;
    2. Computer and Control Engineering, Qiqihar University, Qiqihar 161001,China
  • Received:2014-04-08 Online:2015-11-01 Published:2015-11-01

RICH HTML

0   

PDF (PC)

496

Abstract: In object surface detection using photometric stereo algorithm, two main issues need to be solved; unknown Generalized Bas-Relief (GBR) parameters and surface containing mirror point, shadows and other interference. To solve incalibrated photometric stereo, a novel closed-form algorithm based on local maxima points is proposed to solve GBR parameters. The algorithm, which only solves group of dual quadratic equation without optimization or iterative process, greatly improves the speed and accuracy compared with the existing GBR solutions. To solve non-Lambertian surface issue, image segment and PCA technology are used to segment and remove interference to ensure the algorithm satisfying the application conditions. Higher accuracy and efficiency are proved by experiments.

Key words: information processing technology, 3D reconstruction, non-calibrated light source, photometric stereo

CLC Number: 

  • TP391.4
[1] Woodham R. Photometric method for determining surface orientation from multiple images[J]. Optical Engineering,1980,19(1):139-144.
[2] Barsky S, Petrou M. The 4-source photometric stereo method for three-dimensional surfaces in the presence of highlights and shadows[J]. PAMI,2003,25(10):1239-1252.
[3] Wolff L B, Boult T E. Constraining object features using a polarization reflectance model[J]. PAMI,1991,13(7):635-657.
[4] Tan P, Mallick S P, Quan L,et al. Isotropy, reciprocity and the generalized bas-relief ambiguity[C]∥IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN,2007:1-8.
[5] Mukaigawa Y, Ishii Y, Shakunaga T. Analysis of photometric factors based on photometric linearization[J]. Journal of the Optical Society of America,2007,24(10):3326-3334.
[6] Miyazaki D, Hara K, Ikeuchi K. Median photometric stereo as applied to the segonko tumulus and museum objects[J]. International Journal of Computer Vision,2010,86(2-3):229-242.
[7] Wu L, Ganesh A, Shi B, et al. Robust photometric stereo via low-rank matrix completion and recovery[C]∥Lecture Notes in Computer Science,Queenstown,New Zealand,2011,6494:703-717.
[8] Wu T P, Tang C K. Photometric stereo via expectation maximization[J]. IEEE Trans Pattern Anal Mach Intell,2010,32(3):546-560.
[9] Lin Z, Chen M, Wu L, et al. The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices[DB/OL].[2014-02-07].http://arxiv.org/pdf/1009.5055.pdf.
[10] Ward G J. Measuring and modeling anisotropic reflection[C]∥Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques, New York, NY, USA,1992:265-272.
[11] Lensch H,Kautz J,Goesele M,et al. Image-based reconstruction of spatial appearance and geometric detail[J]. ACM Transactions on Graphics,2003,22(2):234-257.
[12] Goldman D B, Curless B, Hertzmann A, et al. Shape and spatially-varying BRDFs from photometric stereo[J]. Pattern Analysis and Machine Intelligence,2010,32(6):1060-1071.
[13] Zickler T, Belhumeur P, Kriegman D. Helmholtz stereopsis:exploiting reciprocity for surface reconstruction[J]. IJCV,2003,49(2-3):1215-1227.
[14] Chandraker M,Bai J M,Ramamoorthi R.On differential photometric reconstruction for unknown, isotropic BRDFs[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(12):2941-2955.
[15] Wöhler C, d'Angelo P. Stereo image analysis of non-Lambertian surfaces[J]. International Journal of Computer Vision,2009,81(2):529-540.
[16] Belhumeur P N, Kriegman D J, Yuille A L. The bas-relief ambiguity[J]. International Journal of Computer Vision,1999,35(1):33-44.
[17] Kato Y, Horiuchi T, Tominaga S. Estimation of multiple light sources from specular highlights[C]∥21st International Conference on Pattern Recognition,Tsukuba,2012:2033-2086.
[18] Lagger P, Fua P. Retrieving multiple light sources in the presence of specular reflections and texture[J]. Computer Vision and Image Understanding,2008,111(2):207-218.
[19] Alldrin N G, Mallick S P, Kriegman D. Resolving the generalized bas-relief ambiguity by entropy minimization[C]∥IEEE Conference on Computer Vision and Pattern Recognition,Minneapolis, MN,2007:1-7.
[20] Shi B, Matsushita Y, Wei Y, et al. Self-calibrating photometric stereo[C]∥2010 IEEE Conference on Computer Vision and Pattern Recognition,San Francisco,CA,2010,1118-1125.
[21] 吴仑,王涌天,刘越. 一种鲁棒的基于光度立体视觉的表面重建方法[J].自动化学报,2013,39(8):1-10.
Wu Lun, Wang Yong-tian,Liu Yue. A robust approach based on photometric stereo for surface reconstruction[J]. Acta Automatica Sinica,2013,39(8):1-10.
[22] Wright J, Ganesh A, Rao S, et al. Robust principal component analysis: exact recovery of corrupted low-rank matrices by convex optimization[C]∥In proceedings of Neural Information Processing Systems (NIPS),Vancouver B C,Canada,2009:2080-2088.
[23] Yuille A,Snow D. Shape and albedo from multiple images using integrability[C]∥Computer Vision and Pattern Recognition, San Juan,1997:158-164.
[24] Simchony T, Chellappa R, Shao M. Direct analytical methods for solving poisson equations in computer vision problems[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(5):435-446.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] LIN Jin-hua, WANG Yan-jie, WANG Lu, YAO Yu. Real-time surface reconstruction based global camera pose optimization [J]. 吉林大学学报(工学版), 2018, 48(3): 909-918.
[7] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[8] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[9] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[10] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[11] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[12] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[13] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[14] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[15] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd