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» A New Method for DNA Microarray Image Segmentation
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CVPR
2008
IEEE
15 years 11 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
BMCBI
2007
104views more  BMCBI 2007»
14 years 9 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte
ECCV
2008
Springer
15 years 11 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
DICTA
2003
14 years 11 months ago
Globally Optimal Surfaces by Continuous Maximal Flows
Abstract. In this paper we solve the problem of computing exact continuous optimal curves and surfaces for image segmentation and 3D reconstruction, using a maximal flow approach ...
Ben Appleton, Hugues Talbot
IVC
2000
182views more  IVC 2000»
14 years 9 months ago
Multithresholding of color and gray-level images through a neural network technique
One of the most frequently used methods in image processing is thresholding. This can be a highly efficient means of aiding the interpretation of images. A new technique suitable ...
Nikos Papamarkos, Charalambos Strouthopoulos, Ioan...