Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Geometric modeling
Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
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.)
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
An object centered hierarchical representation for 3D objects: the prism tree
Computer Vision, Graphics, and Image Processing
Solid shape
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
Digital Picture Processing
The theory, design, implementation and evaluation of a three-dimensional surface detection algorithm
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
From Multiple Stereo Views to Multiple 3-D Surfaces
International Journal of Computer Vision
A survey of methods for recovering quadrics in triangle meshes
ACM Computing Surveys (CSUR)
Modeling and Rendering of Points with Local Geometry
IEEE Transactions on Visualization and Computer Graphics
Probabilistic Search for Object Segmentation and Recognition
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Curvature measurement of 3D objects: evaluation and comparison of three methods
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
A new approach for a topographic feature-based characterization of digital elevation data
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Implicit Meshes for Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convergence analysis of a discretization scheme for Gaussian curvature over triangular surfaces
Computer Aided Geometric Design
Computer Vision and Image Understanding
Robust statistical estimation of curvature on discretized surfaces
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Topological Repairing of 3D Digital Images
Journal of Mathematical Imaging and Vision
Discrete Distortion for Surface Meshes
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Convergence analysis of a discretization scheme for Gaussian curvature over triangular surfaces
Computer Aided Geometric Design
Feature-based reverse modeling strategies
Computer-Aided Design
Curvature estimation over smooth polygonal meshes using the half tube formula
Proceedings of the 12th IMA international conference on Mathematics of surfaces XII
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
3D statistical shape models for medical image segmentation
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Robust and accurate curvature estimation using adaptive line integrals
EURASIP Journal on Advances in Signal Processing
Estimating principal properties on triangular meshes
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
3D shape from unorganized 3d point clouds
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Tensor scale: An analytic approach with efficient computation and applications
Computer Vision and Image Understanding
Consistent approximations of several geometric differential operators and their convergence
Applied Numerical Mathematics
SMI 2013: Generalized extrinsic distortion and applications
Computers and Graphics
Improving three-dimensional point reconstruction from image correspondences using surface curvatures
Machine Vision and Applications
| Hi-index | 0.14 |
Curvature sampling of arbitrary, fully described 3-D objects (e.g. tomographic medical images) is difficult because of surface patch parameterization problems. Five practical solutions are presented and characterized-the Sander-Zucker approach, two novel methods based on direct surface mapping, a piecewise linear manifold technique, and a turtle geometry method. One of the new methods, called the cross patch (CP) method, is shown to be very fast, robust in the presence of noise, and is always based on a proper surface parameterization, provided the perturbations of the surface over the patch neighborhood are isotropically distributed.