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» OmniSIFT: Scale invariant features in omnidirectional images
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ICIAR
2010
Springer
14 years 14 days ago
Adaptation of SIFT Features for Robust Face Recognition
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...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
ECCV
2004
Springer
14 years 9 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...
IROS
2008
IEEE
115views Robotics» more  IROS 2008»
14 years 2 months ago
Homing in scale space
— Local visual homing is the process of determining the direction of movement required to return an agent to a goal location by comparing the current image with an image taken at...
David Churchill, Andrew Vardy
CVPR
2012
IEEE
11 years 10 months ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 1 months ago
Correspondenceless Ego-Motion Estimation Using an IMU
Abstract— Mobile robots can be easily equipped with numerous sensors which can aid in the tasks of localization and ego-motion estimation. Two such examples are Inertial Measurem...
Ameesh Makadia, Kostas Daniilidis