Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Structural Indexing: Efficient 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
S3: similarity search in CAD database systems
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Fast and memory efficient polygonal simplification
Proceedings of the conference on Visualization '98
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
The Complex EGI: A New Representation for 3-D Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registering Multiview Range Data to Create 3D Computer Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Surface registration by matching oriented points
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Shape-Similarity Search of Three-Dimensional Models Using Parameterized Statistics
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
FFTs for the 2-Sphere-Improvements and Variations
FFTs for the 2-Sphere-Improvements and Variations
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
A Flexible Similarity Measure for 3D Shapes Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conformal spherical representation of 3D genus-zero meshes
Pattern Recognition
Using Non Local Features for 3D Shape Grouping
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
A 3D shape retrieval method based on continuous spherical wavelet transform
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Analyzing DGI-BS: properties and performance under occlusion and noise
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
3D scene retrieval and recognition with Depth Gradient Images
Pattern Recognition Letters
Electric field force features-harmonic representation for 3d shape similarity
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
New 3d fourier descriptors for genus-zero mesh objects
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A similarity computing algorithm for volumetric data sets
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Content-Based 3d model retrieval for digital museum
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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In this paper, we propose a novel shape representation we call Directional Histogram Model (DHM). It captures the shape variation of an object and is invariant to scaling and rigid transforms. The DHM is computed by first extracting a directional distribution of thickness histogram signatures, which are translation invariant. We show how the extraction of the thickness histogram distribution can be accelerated using conventional graphics hardware. Orientation invariance is achieved by computing the spherical harmonic transform of this distribution. Extensive experiments show that the DHM is capable of high discrimination power and is robust to noise.