Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
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
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
Object Categorization by Learned Universal Visual Dictionary
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
3D model search and retrieval using the spherical trace transform
EURASIP Journal on Applied Signal Processing
A New Shape Benchmark for 3D Object Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Local features for partial shape matching and retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
SHREC'10 track: range scan retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
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
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 objective of the SHREC'09 Querying with Partial Models is to compare the performances of algorithms that accept a range image as the query and retrieve relevant 3D models from a database. The use of a range scan as the query addresses a real life scenario where the task of the system is to analyze a 3D scene and to identify what type of objects are present in the scene. Another benefit of developing retrieval algorithms based on range inputs is that they enable a simple 3D search interface composed of a desktop 3D scanner. Two groups have participated in the contest and have provided rank lists for the query set that is composed of range scans of 20 objects. This paper presents descriptions of the participants' methods and the results of the contest.