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» Computing Visual Attention from Scene Depth
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KI
2005
Springer
15 years 3 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
CVHI
2007
14 years 11 months ago
Terrain Analysis for Blind Wheelchair Users: Computer Vision Algorithms for Finding Curbs and other Negative Obstacles
: We are developing computer vision algorithms for sensing important terrain features as an aid to wheelchair navigation, which interpret visual information obtained from images co...
James Coughlan, Huiying Shen
ACCV
2007
Springer
15 years 3 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
ACII
2005
Springer
15 years 3 months ago
Modulation of Attention by Faces Expressing Emotion: Evidence from Visual Marking
Abstract. Recent findings demonstrated that negative emotional faces (sad, anger or fear) tend to attract attention more than positive faces do. This study used the paradigm of vis...
Fang Hao, Hang Zhang, Xiaolan Fu
MM
2006
ACM
330views Multimedia» more  MM 2006»
15 years 3 months ago
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort in tasks, such as object detection and recognition. Similarly, prominent actions in v...
Yun Zhai, Mubarak Shah