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TMI
2008
109views more  TMI 2008»
15 years 6 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
ICIP
2010
IEEE
15 years 4 months ago
Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Mohamed Amer, Raviv Raich, Sinisa Todorovic
VMV
2003
182views Visualization» more  VMV 2003»
15 years 7 months ago
From Images to Video: View Morphing of Three Images
This paper presents a novel image-based approach to generate a video of a scene based on only three wide-baseline uncalibrated images without the use of a 3D model. After automati...
Jiangjian Xiao, Mubarak Shah
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICDAR
2003
IEEE
15 years 11 months ago
Localization, Extraction and Recognition of Text in Telugu Document Images
In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Trans...
Atul Negi, K. Nikhil Shanker, Chandra Kanth Chered...