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IWINAC
2005
Springer
13 years 10 months ago
Model Performance for Visual Attention in Real 3D Color Scenes
Abstract. Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene. The saliency-based mo...
Heinz Hügli, Timothée Jost, Nabil Ouer...
3DPVT
2004
IEEE
149views Visualization» more  3DPVT 2004»
13 years 8 months ago
Fan-Meshes: A Geometric Primitive for Point-Based Description of 3D Models and Scenes
We propose a new data structure, called Fan-Meshes (FM), for reconstructing 3D models and scenes represented by dense scanning point clouds. It is a local piecewise linear approxi...
Xiaotian Yan, Fang Meng, Hongbin Zha
3DPVT
2004
IEEE
140views Visualization» more  3DPVT 2004»
13 years 8 months ago
Fusing Multiple Color Images for Texturing Models
A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and a...
Nobuyuki Bannai, Alexander Agathos, Robert B. Fish...
ICIP
2004
IEEE
14 years 6 months ago
Performance assessment of a visual attention system entirely based on a human vision modeling
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
CAIP
2001
Springer
13 years 9 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...