SIGARCH
2008
14 years 15 days ago
2008
This paper presents a parallelization framework for emerging applications on the future chip multiprocessors (CMPs). With the continuing prevalence of CMP and the number of on-die...
MVA
1990
14 years 1 months ago
1990
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
MVA
1990
14 years 1 months ago
1990
We describe a method based on the Hough transform to compute a set of parameters that completely describe line segments. By complete, we mean the description includes the endpoint...
MVA
1998
14 years 1 months ago
1998
In this paper we proposes a new method to detect a slanted ellipse using Hough transform with 5 parameters effectively. The procedure is as follows: First, a pair of arcs are dete...
WSCG
2003
14 years 1 months ago
2003
This paper presents a feature-based approach to piecewise planar modeling of architectural scenes from an oriented image sequence. An improved line detection algorithm is presente...
BMVC
1998
14 years 1 months ago
1998
In the paper we present the Progressive Probabilistic Hough Transform (PPHT). Unlike the Probabilistic Hough Transform 4] where Standard Hough Transform is performed on a pre-sele...
BMVC
2000
14 years 1 months ago
2000
We develop a new formulation for including invariance in a general form of the Hough transform. We first develop a formal definition of the Hough transform mapping for arbitrary s...
VIP
2001
14 years 1 months ago
2001
Recent developments in reconfigurable hardware technologies have offered high-density high-speed devices with the ability for custom computing whilst maintaining the flexibility o...
EUSFLAT
2003
14 years 1 months ago
2003
The Hough Transform [6] -HT- is a standard tool in image analysis that allows recognizing global patterns in an image space. To detect shapes in noisy data, preserving the idea of...
IPCV
2008
14 years 2 months ago
2008
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...