Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
The Shock Scaffold for Representing 3D Shape
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
3D Model Retrieval with Spherical Harmonics and Moments
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Deformation transfer for triangle meshes
ACM SIGGRAPH 2004 Papers
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Web-based 3D Reconstruction Service
Machine Vision and Applications
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Numerical Geometry of Non-Rigid Shapes
Numerical Geometry of Non-Rigid Shapes
Integral invariants for robust geometry processing
Computer Aided Geometric Design
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Segmentation and Recognition Using Structure from Motion Point Clouds
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
A Bag of Words Approach for 3D Object Categorization
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
A concise and provably informative multi-scale signature based on heat diffusion
SGP '09 Proceedings of the Symposium on Geometry Processing
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orientation invariant 3D object classification using hough transform based methods
Proceedings of the ACM workshop on 3D object retrieval
SUPER: towards real-time event recognition in internet videos
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Fast and Robust Normal Estimation for Point Clouds with Sharp Features
Computer Graphics Forum
SHREC'12 track: generic 3D shape retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Efficient object categorization with the surface-approximation polynomials descriptor
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
Trajectory-Based modeling of human actions with motion reference points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
Performance Evaluation of 3D Keypoint Detectors
International Journal of Computer Vision
Multi-modal descriptors for multi-class hand pose recognition in human computer interaction systems
Proceedings of the 15th ACM on International conference on multimodal interaction
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates
International Journal of Computer Vision
Demisting the Hough Transform for 3D Shape Recognition and Registration
International Journal of Computer Vision
Automatic shape expansion with verification to improve 3D retrieval, classification and matching
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition techniques such as Structure-from-Motion or LIDAR scanning are noisy, clutter and holes. In that case global shape features--still dominating the 3D shape class recognition literature--are less appropriate. Inspired by 2D methods, recently researchers have started to work with local features. In keeping with this strand, we propose a new robust 3D shape classification method. It contains two main contributions. First, we extend a robust 2D feature descriptor, SURF, to be used in the context of 3D shapes. Second, we show how 3D shape class recognition can be improved by probabilistic Hough transform based methods, already popular in 2D. Through our experiments on partial shape retrieval, we show the power of the proposed 3D features. Their combination with the Hough transform yields superior results for class recognition on standard datasets. The potential for the applicability of such a method in classifying 3D obtained from Structure-from-Motion methods is promising, as we show in some initial experiments.