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CVPR
2005
IEEE
16 years 8 months ago
Restoration and Recognition in a Loop
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
ICCV
2007
IEEE
16 years 8 months ago
What, where and who? Classifying events by scene and object recognition
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Li-Jia Li, Fei-Fei Li 0002
ICIP
2008
IEEE
16 years 1 months ago
Matching texture units for face recognition
For an image, texture unit (TU) is a small complete unit which characterizes the local texture of a given pixel and its neighborhood. Recently, TU-based approaches have been widel...
Bangpeng Yao, Haizhou Ai, Shihong Lao
CLOR
2006
15 years 10 months ago
What and Where: 3D Object Recognition with Accurate Pose
Abstract. Many applications of 3D object recognition, such as augmented reality or robotic manipulation, require an accurate solution for the 3D pose of the recognized objects. Thi...
Iryna Gordon, David G. Lowe
BCS
2008
15 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...