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ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 6 months ago
Maximum likelihood mapping with spectral image registration
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Max Pfingsthorn, Andreas Birk 0002, Sören Sch...
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
14 years 1 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
DAGM
2011
Springer
12 years 7 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
DICTA
2003
13 years 8 months ago
Image Matching using TI Multi-wavelet Transform
Abstract. A multi-resolution image matching technique based on multiwavelets followed by a coarse to fine strategy is presented. The technique addresses the estimation of optimal c...
Asim Bhatti, Saeid Nahavandi, Hong Zheng
SACI
2007
IEEE
14 years 1 months ago
Map Building and Localization of a Robot Using Omnidirectional Image Sequences
: The paper describes a map building module, where the image sequences of the omnidirectional camera are transformed into virtual top-view ones and melted into the global dynamic m...
Zoltan Vamossy