Sciweavers

1452 search results - page 31 / 291
» An entropy-based objective evaluation method for image segme...
Sort
View
CVPR
2007
IEEE
16 years 3 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
MICCAI
1998
Springer
15 years 6 months ago
Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images
This paper presents a method for identifying image loci that can be used as a basis for object segmentation and image registration. The focus is on 1D and 2D shape loci in 3D image...
Jacob Furst, Stephen M. Pizer
115
Voted
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
15 years 7 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak
DAGM
2006
Springer
15 years 5 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
ICIP
1995
IEEE
16 years 3 months ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng