Model-based algorithm for rotation invariant target recognition using laser radar range imagery

The out-of-plane rotation invariance is demonstrated for a recognition system for laser radar (ladar) range imagery. The key of our method is to transform an original ladar range image of scene data into a height-range image. We demonstrate experimentally that our method provides the out-of-plane rotation invariance property and preserves in-plane rotation invariant characteristics at the same time. We also show experimentally the relationship between the recognition rate and depression angles.

[1]  Cem ínsalan A model based approach for pose estimation and rotation invariant object matching , 2007 .

[2]  Gérard G. Medioni,et al.  Structural Indexing: Efficient 3-D Object Recognition , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Jitendra Malik,et al.  Recognizing Objects in Range Data Using Regional Point Descriptors , 2004, ECCV.

[4]  Alexey F. Bunkin,et al.  Detection of the OH band fine structure in liquid water by means of new treatment procedure based on the statistics of the fractional moments , 2007 .

[5]  Lena M. Klasen,et al.  Aided target recognition from 3D laser radar data , 2004, SPIE Defense + Commercial Sensing.

[6]  Jianfeng Sun,et al.  4-D image reconstruction for Streak Tube Imaging Lidar , 2009 .

[7]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  James C. Bezdek,et al.  A new approach to target recognition for LADAR data , 2001, IEEE Trans. Fuzzy Syst..

[9]  Jacques Verly,et al.  Model-based system for automatic target recognition from forward-looking laser-radar imagery , 1992 .

[10]  P. Iles,et al.  Rapid automatic target recognition using generic 3D sensor and shape-from-motion data , 2007, SPIE Defense + Commercial Sensing.

[11]  Aly A. Farag,et al.  Free-form surface registration using surface signatures , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[12]  David H. Sliney,et al.  Laser and led eye hazards: Safety standards , 1997 .

[13]  A. Johnson A Representation for 3D Surface Matching , 1997 .

[14]  Zhengyou Zhang,et al.  Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.

[15]  Serguei M. Pershin New generation of the portable backscatter lidar with eye-safe energy level for environmental sensing , 1994, Defense, Security, and Sensing.

[16]  Ruzena Bajcsy,et al.  Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Bir Bhanu,et al.  Representation and Shape Matching of 3-D Objects , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.