56 search results - page 4 / 12 » Keypoint Detection and Local Feature Matching for Textured 3... |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
ICIAR
2010
Springer
14 years 8 days ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
AVSS
2009
IEEE
13 years 5 months ago
2009
IEEE
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
FGR
2006
IEEE
14 years 1 months ago
2006
IEEE
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...