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ICCV
1995
IEEE
10 years 6 months ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
VMV
2001
248views Visualization» more  VMV 2001»
10 years 4 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
BILDMED
2009
180views Algorithms» more  BILDMED 2009»
10 years 3 months ago
Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach
Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and...
Philipp Hartmann, Matthias Baumhauer, Jens Rasswei...
MVA
1992
159views Computer Vision» more  MVA 1992»
10 years 3 months ago
Qualitative Visual Interpretation of 3d Hand Gestures Using Motion Parallax
We present an efficient and geometrically intuitive algorithm to reliably interpret the image velocities of moving objects in 3D. It is well known that in a small neighbourhood th...
Roberto Cipolla, Yasukazu Okamoto, Yoshinori Kuno
ECCV
2000
Springer
11 years 4 months ago
Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects
Abstract. This paper extends the recovery of structure and motion to image sequences with several independently moving objects. The motion, structure, and camera calibration are al...
Andrew W. Fitzgibbon, Andrew Zisserman
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