Add to ORKGJournal ArticleThe application of the Hough shape transform to the problem of the identification and localization of objects in 3-space is presented. The rotation-invariant Hough transform is defined which permits the determination of the geometric transformation from the model to the detected object. Given a sample of 3-D surface points, a set of special model points are derived which are used to form the model. Methods are presented for reducing the amount of computation and accumulator space requited to perform the analysis
The extraction of geometric primitives from images is a fundamental task in computer vision. The obj...
Shape, in both 2D and 3D, provides a primary cue for object recognition and the Hough transform (P.V...
Detecting geometric primitives in images is one of the basic tasks of computer vision. The Hough tra...
The existing Generalised Hough Transform, although altered to cater for scaling and rotation of the ...
In this paper we develop a new formulation and methodology for including invariance in a general for...
Three-dimensional object recognition on range data and 3D point clouds is becoming more important no...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
The Hough Transform is a widely researched area of computer vision due to its unique promise for sha...
<p>(A) Hough accumulator space for a circle <i>(a,b,r)</i> when the radius r is unknown. The scannin...
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often...
Abstract*The Hough Transform is a well-known method for detecting parameterized objects. It is the d...
Computer vision and human vision are quite different. While a person can look at an object and easil...
The Hough transform (HT) is an established technique which evidences a shape by mapping image edge p...
Abstract. Most methods for the recognition of shape classes from 3D datasets focus on classifying cl...
Journal ArticleA three-dimensional scene analysis system for the shape matching of real world 3-D ob...
The extraction of geometric primitives from images is a fundamental task in computer vision. The obj...
Shape, in both 2D and 3D, provides a primary cue for object recognition and the Hough transform (P.V...
Detecting geometric primitives in images is one of the basic tasks of computer vision. The Hough tra...
The existing Generalised Hough Transform, although altered to cater for scaling and rotation of the ...
In this paper we develop a new formulation and methodology for including invariance in a general for...
Three-dimensional object recognition on range data and 3D point clouds is becoming more important no...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
The Hough Transform is a widely researched area of computer vision due to its unique promise for sha...
<p>(A) Hough accumulator space for a circle <i>(a,b,r)</i> when the radius r is unknown. The scannin...
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often...
Abstract*The Hough Transform is a well-known method for detecting parameterized objects. It is the d...
Computer vision and human vision are quite different. While a person can look at an object and easil...
The Hough transform (HT) is an established technique which evidences a shape by mapping image edge p...
Abstract. Most methods for the recognition of shape classes from 3D datasets focus on classifying cl...
Journal ArticleA three-dimensional scene analysis system for the shape matching of real world 3-D ob...
The extraction of geometric primitives from images is a fundamental task in computer vision. The obj...
Shape, in both 2D and 3D, provides a primary cue for object recognition and the Hough transform (P.V...
Detecting geometric primitives in images is one of the basic tasks of computer vision. The Hough tra...