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ICCV
2011
IEEE
13 years 10 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade
ICIP
2010
IEEE
14 years 7 months ago
Saliency detection using maximum symmetric surround
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient ma...
Radhakrishna Achanta, Sabine Süsstrunk
ICIAP
2005
ACM
15 years 10 months ago
Automatic Updating of Urban Vector Maps
In this paper we propose an automatic updating system for urban vector maps that is able to detect changes between the old dataset (consisting of both vector and raster maps) and t...
S. Ceresola, Andrea Fusiello, Manuele Bicego, Albe...
ICCV
2005
IEEE
15 years 12 months ago
Image Statistics Based on Diffeomorphic Matching
We propose a new approach to deal with the first and second order statistics of a set of images. These statistics take into account the images characteristic deformations and thei...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
ICIP
2005
IEEE
15 years 3 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...