International Journal of Computer Vision
Unique shape context for 3d data description
Proceedings of the ACM workshop on 3D object retrieval
Hough transform and 3D SURF for robust three dimensional classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Unique signatures of histograms for local surface description
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Efficient computation of scale-space features for deformable shape correspondences
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Local shape descriptor selection for object recognition in range data
Computer Vision and Image Understanding
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
A new algorithm for 3D shape recognition by means of the 2D point distance histogram
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
3D Geometric Scale Variability in Range Images: Features and Descriptors
International Journal of Computer Vision
Keypoints and Local Descriptors of Scalar Functions on 2D Manifolds
International Journal of Computer Vision
SURE: surface entropy for distinctive 3d features
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
Performance Evaluation of 3D Keypoint Detectors
International Journal of Computer Vision
A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes
International Journal of Computer Vision
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Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structures captured in the range images. In this paper, we show that, through canonical geometric scale-space analysis, this geometric scale-variability embedded in a range image can be exploited as a rich source of discriminative information regarding the captured geometry. We extend previous work on geometric scale-space analysis of 3D models to analyze the scale-variability of a range image and to detect scale-dependent 3D features --- geometric features with their inherent scales. We derive novel local 3D shape descriptors that encode the local shape information within the inherent support region of each feature. We show that the resulting set of scale-dependent local shape descriptors can be used in an efficient hierarchical registration algorithm for aligning range images with the same global scale. We also show that local 3D shape descriptors invariant to the scale variation can be derived and used to align range images with significantly different global scales. Finally, we demonstrate that the scale-dependent/invariant local 3D shape descriptors can even be used to fully automatically register multiple sets of range images with varying global scales corresponding to multiple objects.