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» Detecting Gradients in Text Images Using the Hough Transform
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CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Object Detection using a Max-Margin Hough Transform
We present a discriminative Hough transform based ob- ject detector where each local part casts a weighted vote for the possible locations of the object center. We show that the ...
Subhransu Maji (University of California, Berkeley...
WSCG
2003
273views more  WSCG 2003»
13 years 8 months ago
Towards Feature-Based Building Reconstruction from Images
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...
Konrad Schindler, Joachim Bauer
ICPR
2006
IEEE
14 years 8 months ago
Extracting Lines in Noisy Image Using Directional Information
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false l...
Arturo Sanchez-Azofeifa, Jun Zhou, Walter F. Bisch...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 8 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
IVC
2000
156views more  IVC 2000»
13 years 7 months ago
On the gray-scale inverse Hough transform
This paper proposes a gray-scale inverse Hough transform (GIHT) algorithm which is combined with a modified gray-scale Hough transform (GHT). Given only the data of the Hough tran...
Anastasios L. Kesidis, Nikos Papamarkos