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ICIP
1997
IEEE
14 years 11 months ago
Wavelet features for statistical object localization without segmentation
This paper describes a new technique for statistical 3{D object localization. Local feature vectors are extracted for all image positions, in contrast to segmentation in classical...
Heinrich Niemann, Josef Pösl
ICCV
1999
IEEE
14 years 11 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
ICML
2005
IEEE
14 years 10 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
CVPR
2010
IEEE
14 years 6 months ago
Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags
Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the image. We propose to ...
Sung Ju Hwang, University of Texas, Kristen Grauma...
SAC
2004
ACM
14 years 3 months ago
Concatenate feature extraction for robust 3D elliptic object localization
Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a syst...
Yuichi Motai, Akio Kosaka