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» Highly Discriminative Invariant FEatures for Image Matching
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ECCV
2004
Springer
15 years 11 months ago
Simultaneous Object Recognition and Segmentation by Image Exploration
Methods based on local, viewpoint invariant features have proven capable of recognizing objects in spite of viewpoint changes, occlusion and clutter. However, these approaches fail...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
ACCV
2009
Springer
15 years 25 days ago
A Harris-Like Scale Invariant Feature Detector
Image feature detection is a fundamental issue in computer vision. SIFT[1] and SURF[2] are very effective in scale-space feature detection, but their stabilities are not good enou...
Yinan Yu, Kaiqi Huang, Tieniu Tan
ICASSP
2011
IEEE
14 years 1 months ago
Keypoint-based near-duplicate images detection using affine invariant feature and color matching
This paper presents a new keypoint-based approach to nearduplicate images detection. It consists of three steps. Firstly, the keypoints of images are extracted and then matched. S...
Yue Wang, Zujun Hou, Karianto Leman
IJCV
2007
174views more  IJCV 2007»
14 years 9 months ago
Automatic Panoramic Image Stitching using Invariant Features
This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more di...
Matthew Brown, David G. Lowe
CVPR
2005
IEEE
15 years 11 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell