Open AccessProceedings Article
A Corner Orientation Detector.
TLDR
An operator for the detection of the true location and orientation of corners is introduced and its strength in dealing with junctions as well as corners is demonstrated.About:
This article is published in British Machine Vision Conference.The article was published on 1997-01-01 and is currently open access. It has received 66 citations till now. The article focuses on the topics: Orientation (graph theory) & Corner detection.read more
Citations
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BookDOI
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Farzin Mokhtarian,Miroslav Bober +1 more
TL;DR: Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization is based on key publications on the CSS technique, as well as its multiple applications and generalizations, to ensure that the reader will have access to the most fundamental results concerning the CSS method in one volume.
Journal ArticleDOI
Corner detector based on global and local curvature properties
Xiaochen He,Nelson H. C. Yung +1 more
TL;DR: A curvature-based corner detector that detects both fine and coarse features accurately at low computational cost and forms extremely well in both fields is proposed.
Journal ArticleDOI
Performance evaluation of corner detectors using consistency and accuracy measures
TL;DR: This paper evaluates the performance of several popular corner detectors using two newly defined criteria, consistency and accuracy, which show that the enhanced CSS corner detector performs better according to these criteria.
Journal ArticleDOI
Uncertainty modeling and model selection for geometric inference
TL;DR: It is pointed out that a correspondence exists between the standard statistical analysis and the geometric inference problem and that the two criteria have contrasting characteristics in detecting degeneracy.
Journal ArticleDOI
Edge-preserving image denoising and estimation of discontinuous surfaces
TL;DR: A novel procedure is proposed based on local linear kernel smoothing, in which local neighborhoods are adapted to the local smoothness of the surface measured by the observed data, which can remove noise correctly in continuity regions of thesurface and preserve discontinuities at the same time.
References
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Journal ArticleDOI
Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397
Journal ArticleDOI
Measuring Corner Properties
TL;DR: Methods to measure the following properties of gray level corners: subtended angle, orientation, contrast, bluntness (or rounding of the apex), and boundary curvature (for cusps) are described.
Journal Article
Gray Level Corner Detection.
TL;DR: A new approach for corner detection called the GradientDirection corner detector is presented, developed from the popular Plessey corner detector, based on the measure of the gradient module of the image gradient direction and the constraints of false corner response suppression.
Journal ArticleDOI
Structure adaptive anisotropic image filtering
TL;DR: This paper presents a structure adaptive anisotropic filtering technique with its application to processing magnetic resonance images that differs from other techniques in that, instead of using local gradients as a means of controlling the anisotropism of filters, it uses both a local intensity orientation and ananisotropic measure of level contours to control the shape and extent of the filter kernel.
Book ChapterDOI
On the Selection of Critical Points and Local Curvature Extrema of Region Boundaries for Interframe Matching
L. S. Dreschler,H.-H. Nagel +1 more
TL;DR: In this paper, the mathematical relations between the two-stage interest operator of DRESCHLER+NAGEL 81, the zero-crossing contours of the Mexican Hat-operator of MARR+HILDRETH 80 and the zero lines of the gaussian curvature are discussed.