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CVPR
2007
IEEE
15 years 11 months ago
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence
We describe a method for fully automatic object recognition and segmentation using a set of reference images to specify the appearance of each object. Our method uses a generative...
Ian Simon, Steven M. Seitz
CVPR
2004
IEEE
15 years 11 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
ICDAR
2003
IEEE
15 years 3 months ago
Proper Names Extraction from Fax Images Combining Textual and Image Features
In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object...
Laurence Likforman-Sulem, Pascal Vaillant, Fran&cc...
SSPR
2010
Springer
14 years 7 months ago
Extracting Plane Graphs from Images
Abstract. In order to use structural techniques from graph-based pattern recognition, a first necessary step consists in extracting a graph in an automatic way from an image. We pr...
Émilie Samuel, Colin de la Higuera, Jean-Ch...
BCS
2008
14 years 11 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...