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» Building text features for object image classification
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PAMI
2008
270views more  PAMI 2008»
13 years 7 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
PAMI
2002
94views more  PAMI 2002»
13 years 7 months ago
Imaged Document Text Retrieval Without OCR
: We propose a method for text retrieval from document images without the use of OCR. Documents are segmented into character objects. Image features, namely the Vertical Traverse D...
Chew Lim Tan, Weihua Huang, Zhaohui Yu, Yi Xu
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 8 months ago
Vlfeat: an open and portable library of computer vision algorithms
VLFeat is an open and portable library of computer vision algorithms. It aims at facilitating fast prototyping and reproducible research for computer vision scientists and student...
Andrea Vedaldi, Brian Fulkerson
ICRA
1998
IEEE
121views Robotics» more  ICRA 1998»
14 years 2 days ago
Registering, Integrating and Building CAD Models from Range Data
In this paper, we introduce two methods for the registration of multiple range images when a prior estimate of the transformationbetween views is not available and the overlap bet...
Ruigang Yang, Peter K. Allen
ERCIMDL
1997
Springer
130views Education» more  ERCIMDL 1997»
13 years 12 months ago
Modelling the Retrieval of Structured Documents Containing Texts and Images
Abstract. We present a model for complex documents possibly consisting of a hierarchically structured set of images or texts. Documents are represented both at the form level (as s...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...