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ICPR
2006
IEEE
14 years 10 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
CVPR
2010
IEEE
14 years 2 months ago
Model Globally, Match Locally: Efficient and Robust 3D Object Recognition
This paper addresses the problem of recognizing freeform 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local informati...
Bertram Drost, Markus Ulrich, Nassir Navab, Slobod...
CVPR
2008
IEEE
13 years 11 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
ETFA
2006
IEEE
14 years 3 months ago
Low-Cost Optical Indoor Localization System for Mobile Objects without Image Processing
While being very successful in everyday life, GPSbased localization systems exhibit limited performance under trees, behind walls, and in closed rooms, and sometimes induce costs ...
Ralf Salomon, Matthias Schneider, Daniel Wehden
CVPR
1996
IEEE
14 years 11 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr