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» An in Depth Comparison of Four Texture Segmentation Methods
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CGF
2008
200views more  CGF 2008»
13 years 5 months ago
Deep Opacity Maps
We present a new method for rapidly computing shadows from semi-transparent objects like hair. Our deep opacity maps method extends the concept of opacity shadow maps by using a d...
Cem Yuksel, John Keyser
CVPR
2009
IEEE
1037views Computer Vision» more  CVPR 2009»
15 years 26 days ago
Piecewise Planar City 3D Modeling from Street View Panoramic Sequences
City environments often lack textured areas, contain repetitive structures, strong lighting changes and therefore are very difficult for standard 3D modeling pipelines. We prese...
Branislav Micusík, Jana Kosecka
ASSETS
2006
ACM
13 years 11 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
ICIAP
2001
Springer
13 years 10 months ago
Neural Network Analysis of MINERVA Scene Analysis Benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in th...
Markos Markou, Sameer Singh, Mona Sharma
CVIU
2008
192views more  CVIU 2008»
13 years 5 months ago
Content based video matching using spatiotemporal volumes
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
Arslan Basharat, Yun Zhai, Mubarak Shah