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» Learning to display high dynamic range images
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HVEI
2010
15 years 7 months ago
Gloss discrimination and eye movements
Human observers are able to make fine discriminations of surface gloss. What cues are they using to perform this task? In previous studies, we identified two reflection-related cu...
Jonathan B. Phillips, James A. Ferwerda, Ann Nunzi...
VR
2002
IEEE
139views Virtual Reality» more  VR 2002»
15 years 10 months ago
Unique Shared-Aperture Display with Head or Target Tracking
The extreme environment of a military cockpit requires a novel display technology, introduced as the Virtual Retinal Display (VRD). A head-worn VRD generates an image by optical s...
Winyu Chinthammit, Eric J. Seibel, Thomas A. Furne...
DAGM
2009
Springer
16 years 13 days ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
ICIP
2010
IEEE
15 years 3 months ago
A dynamic threshold approach for skin segmentation in color images
: This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images. Fixed decision boundaries (or fixed threshold) classificat...
Yogarajah Pratheepan, Joan Condell, Kevin Curran, ...
138
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AFRIGRAPH
2004
ACM
15 years 11 months ago
Direct HDR capture of the sun and sky
We present a technique for capturing the extreme dynamic range of natural illumination environments that include the sun and sky, which has presented a challenge for traditional h...
Jessi Stumpfel, Chris Tchou, Andrew Jones, Tim Haw...