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» Image matching based on a local invariant descriptor
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ICCV
2007
IEEE
14 years 9 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder
ICIP
2010
IEEE
13 years 5 months ago
Gradient field descriptor for sketch based retrieval and localization
We present an image retrieval system driven by free-hand sketched queries depicting shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image descriptor, enca...
Rui Hu, Mark Barnard, John P. Collomosse
ICIAR
2009
Springer
13 years 5 months ago
Invariant Shape Matching for Detection of Semi-local Image Structures
Abstract. Shape features applied to object recognition has been actively studied since the beginning of the field in 1950s and remain a viable alternative to appearance based metho...
Lech Szumilas, Horst Wildenauer, Allan Hanbury
ICIP
2010
IEEE
13 years 5 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...
ICPR
2008
IEEE
14 years 2 months ago
Matching images more efficiently with local descriptors
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the c...
Dong Zhang, Weiqiang Wang, Qingming Huang, Shuqian...