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» Segmenting focused objects in complex visual images
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BVAI
2007
Springer
15 years 10 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
ISBI
2011
IEEE
14 years 8 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
APGV
2010
ACM
227views Visualization» more  APGV 2010»
15 years 8 months ago
Measuring the perception of light inconsistencies
In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit fro...
Jorge Lopez-Moreno, Veronica Sundstedt, Francisco ...
CVPR
2003
IEEE
16 years 6 months ago
Shape-From-Silhouette of Articulated Objects and its Use for Human Body Kinematics Estimation and Motion Capture
Shape-From-Silhouette (SFS), also known as Visual Hull (VH) construction, is a popular 3D reconstruction method which estimates the shape of an object from multiple silhouette ima...
German K. M. Cheung, Simon Baker, Takeo Kanade
JMIV
2007
156views more  JMIV 2007»
15 years 4 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...