Range image recognition based on Bayesian decision rule

Laser radar is able to simultaneously produce intensity image and 3D range image which provide rich geometric information for object recognition. However, back scatter noise hinders its usage for most laser radars. Range gated imaging laser radar, which can restrain back scatter noise effectively, becomes an emerging research trend. Its specific imaging system makes the recognition method of range gated imagery different from that of other laser radars. In this paper, a new recognition approach is proposed. We represent range image by a series of range slices so that the shape-matching problem is transformed into similarity measure between 2D slices. The correlation coefficient is used to measure the similarity between 2D range slices. The final decision is made by Bayesian decision rule. Experiments demonstrate that the proposed approach is efficient in object recognition of range-gated imaging laser radar. It can handle partial occlusion and noise with high recognition rate as well.

[1]  Pu Jiantao,et al.  3D model retrieval based on 2D slice similarity measurements , 2004 .

[2]  Chin Seng Chua,et al.  Point Signatures: A New Representation for 3D Object Recognition , 1997, International Journal of Computer Vision.

[3]  Bernt Schiele,et al.  3D object recognition from range images using local feature histograms , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  Qi Wang,et al.  Rotation-invariant target recognition in LADAR range imagery using model matching approach. , 2010, Optics express.

[5]  Qi Li,et al.  Correlation target recognition for laser radar , 2006, International Commission for Optics.

[6]  Andrew E. Johnson,et al.  Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Wang Li,et al.  Model-based algorithm for rotation invariant target recognition using laser radar range imagery , 2009 .

[8]  Weibin Liu,et al.  3D model retrieval based on 2D slice similarity measurements , 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

[9]  Jacques Verly,et al.  Model-based automatic target recognition (ATR) system for forwardlooking groundbased and airborne imaging laser radars (LADAR) , 1996, Proc. IEEE.