Three-dimensional object recognition
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Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
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Curvature-based representation of objects from range data
Image and Vision Computing
Robust Clustering with Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Surface Approach to the Integration of a Set of Range Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Space Curve Representation and Recognition Based on Wavelet Transform Zero-Crossings
Journal of Mathematical Imaging and Vision
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ACM Computing Surveys (CSUR)
IEEE Transactions on Visualization and Computer Graphics
Robust Estimation for Range Image Segmentation and Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Surface Geometry and Segmentation Using Covariance Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency sequential surface organization for free-form object recognition
Computer Vision and Image Understanding
Markov random field modeled range image segmentation
Pattern Recognition Letters
Proceedings of the 20th spring conference on Computer graphics
Range image segmentation based on randomized Hough transform
Pattern Recognition Letters
Automatic segmentation of unorganized noisy point clouds based on the Gaussian map
Computer-Aided Design
Integral invariants for robust geometry processing
Computer Aided Geometric Design
Robust palmprint verification using 2D and 3D features
Pattern Recognition
Log-polar height maps for multiple range image registration
Computer Vision and Image Understanding
Feature-based reverse modeling strategies
Computer-Aided Design
Curvature estimation scheme for triangle meshes using biquadratic Bézier patches
Computer-Aided Design
Segmentation of architecture shape information from 3D point cloud
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Visual surface segmentation from stereo
Image and Vision Computing
Curvature estimation over smooth polygonal meshes using the half tube formula
Proceedings of the 12th IMA international conference on Mathematics of surfaces XII
Digital planar surface segmentation using local geometric patterns
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Image analysis by Gaussian-Hermite moments
Signal Processing
Curvature estimation for meshes based on vertex normal triangles
Computer-Aided Design
Segmenting free-form 3d objects by a function representation in spherical coordinates
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
A method for footprint range image segmentation and description
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A brain informatics approach to explain the oblique effect via depth statistics
BI'12 Proceedings of the 2012 international conference on Brain Informatics
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The authors describe a hybrid approach to the problem of image segmentation in range data analysis, where hybrid refers to a combination of both region- and edge-based considerations. The range image of 3-D objects is divided into surface primitives which are homogeneous in their intrinsic differential geometric properties and do not contain discontinuities in either depth of surface orientation. The method is based on the computation of partial derivatives, obtained by a selective local biquadratic surface fit. Then, by computing the Gaussian and mean curvatures, an initial region-gased segmentation is obtained in the form of a curvature sign map. Two additional initial edge-based segmentations are also computed from the partial derivatives and depth values, namely, jump and roof-edge maps. The three image maps are then combined to produce the final segmentation. Experimental results obtained for both synthetic and real range data of polyhedral and curved objects are given.