A New Paradigm for Recognizing 3-D Object Shapes from Range Data
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Machine Learning
A 2D sketch interface for a 3D model search engine
ACM SIGGRAPH 2002 conference abstracts and applications
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
A New Shape Benchmark for 3D Object Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
SHREC'09 track: querying with partial models
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Benchmarks, performance evaluation and contests for 3D shape retrieval
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
3D object retrieval via range image queries based on SIFT descriptors on panoramic views
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
3D object retrieval via range image queries in a bag-of-visual-words context
The Visual Computer: International Journal of Computer Graphics
On 3D object retrieval benchmarking
3D Research
SHREC'13 track: large-scale partial shape retrieval using simulated range images
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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The 3D Shape Retrieval Contest 2010 (SHREC'10) on range scan retrieval aims at comparing algorithms that match a range scan to complete 3D models in a target database. The queries are range scans of real objects, and the objective is to retrieve complete 3D models that are of the same class. This problem is essential to current and future vision systems that perform shape based matching and classification of the objects in the environment. Two groups have participated in the contest. They have provided rank lists for the query set, which is composed of 120 range scans of 40 objects.