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» Distinctiveness Maps for Image Matching
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145
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MVA
2010
248views Computer Vision» more  MVA 2010»
14 years 10 months ago
A comparative evaluation of interest point detectors and local descriptors for visual SLAM
Abstract In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in visionbased simultaneou...
Arturo Gil, Óscar Martínez Mozos, M&...
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 9 months ago
Morphable Face Reconstruction with Multiple Images
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...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
124
Voted
IROS
2009
IEEE
136views Robotics» more  IROS 2009»
15 years 10 months ago
Self-location from monocular uncalibrated vision using reference omniviews
— In this paper we present a novel approach to perform indoor self-localization using reference omnidirectional images. We only need one omnidirectional image of the whole scene ...
Luis Puig, José Jesús Guerrero
97
Voted
CVPR
2004
IEEE
16 years 5 months ago
Covariance-Driven Mosaic Formation from Sparsely-Overlapping Image Sets with Application to Retinal Image Mosaicing
A new technique is presented for mosaicing sparselyoverlapping image sets, with a target application of assisting the diagnosis and treatment of retinal diseases. The geometric im...
Gehua Yang, Charles V. Stewart

Tutorial
2744views
15 years 8 months ago
Correlation based similarity measures-Summary
Correlation based matching typically produces dense depth maps by calculating the disparity at each pixel within a neighborhood. This is achieved by taking a square window of certa...