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» Computing Visual Attention from Scene Depth
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134
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BMVC
2010
14 years 10 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh
105
Voted
ICCV
2005
IEEE
15 years 6 months ago
Uncalibrated Perspective Reconstruction of Deformable Structures
Reconstruction of 3D structures from uncalibrated image sequences has a wealthy history. Most work has been focused on rigid objects or static scenes. This paper studies the probl...
Jing Xiao, Takeo Kanade
AVSS
2007
IEEE
15 years 7 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
3DIM
2003
IEEE
15 years 6 months ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha
BMVC
2000
15 years 2 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong