A novel local surface feature for 3D object recognition under clutter and occlusion

Information Sciences

Volumn 293, Issue , 2015, Pages 196-213

  Guo, Yulan ^a,b   Sohel, Ferdous ^b   Bennamoun, Mohammed ^b   Wan, Jianwei ^a   Lu, Min ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

3D object recognition; Clutter; Feature description; Local surface feature; Occlusion; Point cloud

Indexed keywords

CLUTTER (INFORMATION THEORY); GAUSSIAN NOISE (ELECTRONIC); RADAR CLUTTER; SHOT NOISE;

3D OBJECT RECOGNITION; FEATURE DESCRIPTION; LOCAL SURFACES; OCCLUSION; POINT CLOUD;

OBJECT RECOGNITION;

EID: 84922615089     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.09.015     Document Type: Article

References (50)

1. P. Bariya, J. Novatnack, G. Schwartz, and K. Nishino 3D geometric scale variability in range images: features and descriptors Int. J. Comput. Vis. 99 2 2012 232 255
2. B. Bustos, D.A. Keim, D. Saupe, T. Schreck, and D.V. Vranić Feature-based similarity search in 3D object databases ACM Comput. Surv. 37 4 2005 345 387
3. E.J. Candès, J. Romberg, and T. Tao Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information IEEE Trans. Inform. Theory 52 2 2006 489 509
4. C.S. Chua, and R. Jarvis Point signatures: a new representation for 3D object recognition Int. J. Comput. Vis. 25 1 1997 63 85
5. B. Curless, M. Levoy, A volumetric method for building complex models from range images, in: 23rd Annual Conference on Computer Graphics and Interactive Techniques, 1996, pp. 303-312.
6. T. Darom, and Y. Keller Scale invariant features for 3D mesh models IEEE Trans. Image Process. 21 5 2012 2758 2769
7. F. De la Torre, M.J. Black, Robust principal component analysis for computer vision, in: 8th IEEE International Conference on Computer Vision, vol. 1, 2001, pp. 362-369.
8. H.Q. Dinh, S. Kropac, Multi-resolution spin-images, in: IEEE International Conference on Computer Vision and Pattern Recognition, vol. 1, 2006, pp. 863-870.
9. M.A. Fischler, and R.C. Bolles Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography Commun. ACM 24 6 1981 381 395
10. A. Frome, D. Huber, R. Kolluri, T. Bülow, J. Malik, Recognizing objects in range data using regional point descriptors, in: 8th European Conference on Computer Vision, 2004, pp. 224-237.
11. Y. Gao, Q. Dai, and N.-Y. Zhang 3D model comparison using spatial structure circular descriptor Pattern Recogn. 43 3 2010 1142 1151
12. Y. Gao, J. Tang, R. Hong, S. Yan, Q. Dai, N. Zhang, and T.-S. Chua Camera constraint-free view-based 3-D object retrieval IEEE Trans. Image Process. 21 4 2012 2269 2281
13. Y. Gao, M. Wang, R. Ji, Z. Zha, and J. Shen k-Partite graph reinforcement and its application in multimedia information retrieval Inform. Sci. 194 2012 224 239
14. Y. Gao, M. Wang, D. Tao, R. Ji, and Q. Dai 3-D object retrieval and recognition with hypergraph analysis IEEE Trans. Image Process. 21 9 2012 4290 4303
15. Y. Gao, M. Wang, Z.-J. Zha, Q. Tian, Q. Dai, and N. Zhang Less is more: efficient 3-D object retrieval with query view selection IEEE Trans. Multimedia 13 5 2011 1007 1018
16. Y. Guo, M. Bennamoun, F. Sohel, M. Lu, and J. Wan 3D object recognition in cluttered scenes with local surface features: a survey IEEE Trans. Pattern Anal. Machine Intell. 36 11 2014 2270 2287
17. Y. Guo, F. Sohel, M. Bennamoun, M. Lu, and J. Wan Rotational projection statistics for 3D local surface description and object recognition Int. J. Comput. Vis. 105 1 2013 63 86
18. Y. Guo, F. Sohel, M. Bennamoun, M. Lu, J. Wan, TriSI: a distinctive local surface descriptor for 3D modeling and object recognition, in: 8th International Conference on Computer Graphics Theory and Applications, 2013, pp. 86-93.
19. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, M. Lu, Integrating shape and color cues for textured 3D object recognition, in: The 8th IEEE Conference on Industrial Electronics and Applications, 2013.
20. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, and M. Lu An accurate and robust range image registration algorithm for 3D object modeling IEEE Trans. Multimedia 16 5 2014 1377 1390
21. Y. Guo, J. Wan, M. Lu, and W. Niu A parts-based method for articulated target recognition in laser radar data Optik - Int. J. Light Electron Opt. 124 17 2013 2727 2733
22. A.E. Johnson, Surface landmark selection and matching in natural terrain, in: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 2000, pp. 413-420.
23. A.E. Johnson, and M. Hebert Using spin images for efficient object recognition in cluttered 3D scenes IEEE Trans. Pattern Anal. Machine Intell. 21 5 1999 433 449
24. U. Kang, M. Hebert, and S. Park Fast and scalable approximate spectral graph matching for correspondence problems Inform. Sci. 220 2013 306 318
25. I. Kokkinos, M.M. Bronstein, R. Litman, A.M. Bronstein, Intrinsic shape context descriptors for deformable shapes, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, pp. 159-166.
26. Y. Lei, M. Bennamoun, and A.A. El-Sallam An efficient 3D face recognition approach based on the fusion of novel local low-level features Pattern Recogn. 46 1 2013 24 37
27. Y. Lei, M. Bennamoun, M. Hayat, and Y. Guo An efficient 3D face recognition approach using local geometrical signatures Pattern Recogn. 47 2 2014 509 524
28. D.G. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2004 91 110
29. G.-F. Lu, and Y. Wang Feature extraction using a fast null space based linear discriminant analysis algorithm Inform. Sci. 193 2012 72 80
30. A.S. Mian, M. Bennamoun, and R. Owens Three-dimensional model-based object recognition and segmentation in cluttered scenes IEEE Trans. Pattern Anal. Machine Intell. 28 10 2006 1584 1601
31. A.S. Mian, M. Bennamoun, and R. Owens On the repeatability and quality of keypoints for local feature-based 3D object retrieval from cluttered scenes Int. J. Comput. Vis. 89 2 2010 348 361
32. A.S. Mian, M. Bennamoun, and R.A. Owens A novel representation and feature matching algorithm for automatic pairwise registration of range images Int. J. Comput. Vis. 66 1 2006 19 40
33. K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors IEEE Trans. Pattern Anal. Machine Intell. 27 10 2005 1615 1630
34. R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin Shape distributions ACM Trans. Graph. 21 4 2002 807 832
35. E. Rodolà, A. Albarelli, F. Bergamasco, and A. Torsello A scale independent selection process for 3D object recognition in cluttered scenes Int. J. Comput. Vis. 2013 1 17
36. S. Ruiz-Correa, L.G. Shapiro, M. Melia, A new signature-based method for efficient 3-D object recognition, in: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2001, pp. I-769.
37. R.B. Rusu, S. Cousins. 3D is here: point cloud library (PCL), in: IEEE International Conference on Robotics and Automation, 2011, pp. 1-4.
38. L. Shang, and M. Greenspan Real-time object recognition in sparse range images using error surface embedding Int. J. Comput. Vis. 89 2 2010 211 228
39. F.M. Sukno, J.L. Waddington, P.F. Whelan, Rotationally invariant 3D shape contexts using asymmetry patterns, in: 8th International Conference on Computer Graphics Theory and Applications, 2013.
40. B. Taati, M. Bondy, P. Jasiobedzki, M. Greenspan, Variable dimensional local shape descriptors for object recognition in range data, in: 11th IEEE International Conference on Computer Vision, 2007, pp. 1-8.
41. B. Taati, and M. Greenspan Local shape descriptor selection for object recognition in range data Comput. Vis. Image Understand. 115 5 2011 681 694
42. F. Tombari, S. Salti, L. Di Stefano, Unique shape context for 3D data description, in: ACM Workshop on 3D Object Retrieval, 2010, pp. 57-62.
43. F. Tombari, S. Salti, and L. Di Stefano Unique signatures of histograms for local surface description European Conference on Computer Vision 2010 Springer 356 369
44. F. Tombari, S. Salti, and L. Di Stefano Performance evaluation of 3D keypoint detectors Int. J. Comput. Vis. 102 1 2013 198 220
45. J. Wang, Y. Lu, L. Gu, C. Zhou, and X. Chai Moving objects recognition under simulated prosthetic vision using background-subtraction-based image processing strategies Inform. Sci. 2014
46. H. Xu, C. Caramanis, and S. Sanghavi Robust PCA via outlier pursuit IEEE Trans. Inform. Theory 58 5 2012 3047 3064
47. Y. Xu, Q. Zhu, Z. Fan, D. Zhang, J. Mi, and Z. Lai Using the idea of the sparse representation to perform coarse-to-fine face recognition Inform. Sci. 238 2013 138 148
48. A. Zaharescu, E. Boyer, and R. Horaud Keypoints and local descriptors of scalar functions on 2D manifolds Int. J. Comput. Vis. 100 2012 78 98
49. X. Zhao, C. Zhang, L. Xu, B. Yang, and Z. Feng IGA-based point cloud fitting using B-spline surfaces for reverse engineering Inform. Sci. 2013
50. Y. Zhong, Intrinsic shape signatures: a shape descriptor for 3D object recognition, in: IEEE International Conference on Computer Vision Workshops, 2009, pp. 689-696.