Improved object segmentation based on 2D/3D images
作者： Otmar Loffeld , Omar Edmond Loepprich , Oliver Lottner , Seyed Eghbal Ghobadi , Klaus Hartmann
DOI:
关键词:
摘要: This paper addresses the solution to problem of object segmentation based on fusion 2D/3D images. These images are provided by novel monocular hybrid vision system which has been implemented at our research center. The proposed is combination edge detection and an unsupervised clustering technique. While former applied high resolution 2D Images, latter done low Time-of-Flight experimental results show that improve segmentation.
acm.org 参考文章(11)
Sotiris Malassiotis, Michael G. Strintzis, Alice Caplier, Laurent Bonnaud, Comparison of 2D and 3D Analysis For Automated Cued Speech Gesture Recognition ,(2004)
Christopher M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics) Springer-Verlag New York, Inc.. ,(2006)
A.V. Nefian, R. Grzeszczuk, V. Eruhimov, A statistical upper body model for 3D static and dynamic gesture recognition from stereo sequences international conference on image processing. ,vol. 3, pp. 286- 289 ,(2001) , 10.1109/ICIP.2001.958107
C. Keskin, L. Akarun, O. Aran, Real time gestural interface for generic applications european signal processing conference. pp. 1- 4 ,(2005)
Thomas Burger, Alice Caplier, Stephane Mancini, Cued speech hand gestures recognition tool european signal processing conference. pp. 1- 4 ,(2005) , 10.5281/ZENODO.39431
S.B. Gokturk, C. Tomasi, 3D head tracking based on recognition and interpolation using a time-offlight depth sensor Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.. ,vol. 2, pp. 211- 217 ,(2004) , 10.1109/CVPR.2004.1315166
Zhenyao Mo, U. Neumann, Real-time Hand Pose Recognition Using Low-Resolution Depth Images computer vision and pattern recognition. ,vol. 2, pp. 1499- 1505 ,(2006) , 10.1109/CVPR.2006.237
S.B. Gokturk, H. Yalcin, C. Bamji, A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions computer vision and pattern recognition. pp. 35- 35 ,(2004) , 10.1109/CVPR.2004.291
B. Heisele, W. Ritter, Segmentation of range and intensity image sequences by clustering Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446). pp. 223- 225 ,(1999) , 10.1109/ICIIS.1999.810265
S. Nasser, R. Alkhaldi, G. Vert, A Modified Fuzzy K-means Clustering using Expectation Maximization ieee international conference on fuzzy systems. pp. 231- 235 ,(2006) , 10.1109/FUZZY.2006.1681719