The Hough transform provides a paradigm for multi-dimensional pattern detection and more general parameter extraction. It has good properties in noise, but as usually implemented requires an accumulator array whose size is exponential in the number of parameters extracted. The idea of accumulating votes in a small content-addressable store raises many technical issues, some of which are outlined here. Simulation results illustrate some of the points
Finding arbitrary shapes within image data is a problem with applications ranging from Internet sear...
Cache behavior is complex and inherently unstable, yet it is a critical factor affecting program per...
The Hough transform for line detection is widely used in many machine vision applications due to its...
In the Hough transform, a feature in an input space I votes for parameters in a transform space P w...
A quad-tree-like data structure can be implemented with a content-addressable cache. The resulting s...
International audience—The Hough transform is a robust algorithm used in shapes and objects recognit...
A quad-tree-like data structure can be implemented with a content-addressab!e cache. The resulting s...
The Hough Transform is an image processing technique used to detect patterns defined by analytical e...
A quad-tree-like data structure can be implemented with a content-addressable cache. The resulting s...
IEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5), Minneapolis...
A common method for finding an object's pose is the generalized Hough transform, which accumulates...
This paper describes a Bayesian scheme for incre-menting the Hough Transform (HT) accumulator to imp...
Hough transform based methods for object detection work by allowing image features to vote for the l...
Line detection is very important task in image processing field. It is mainly used in auto focusing ...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
Finding arbitrary shapes within image data is a problem with applications ranging from Internet sear...
Cache behavior is complex and inherently unstable, yet it is a critical factor affecting program per...
The Hough transform for line detection is widely used in many machine vision applications due to its...
In the Hough transform, a feature in an input space I votes for parameters in a transform space P w...
A quad-tree-like data structure can be implemented with a content-addressable cache. The resulting s...
International audience—The Hough transform is a robust algorithm used in shapes and objects recognit...
A quad-tree-like data structure can be implemented with a content-addressab!e cache. The resulting s...
The Hough Transform is an image processing technique used to detect patterns defined by analytical e...
A quad-tree-like data structure can be implemented with a content-addressable cache. The resulting s...
IEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5), Minneapolis...
A common method for finding an object's pose is the generalized Hough transform, which accumulates...
This paper describes a Bayesian scheme for incre-menting the Hough Transform (HT) accumulator to imp...
Hough transform based methods for object detection work by allowing image features to vote for the l...
Line detection is very important task in image processing field. It is mainly used in auto focusing ...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
Finding arbitrary shapes within image data is a problem with applications ranging from Internet sear...
Cache behavior is complex and inherently unstable, yet it is a critical factor affecting program per...
The Hough transform for line detection is widely used in many machine vision applications due to its...