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GTC ON-DEMAND

Computer Vision
Presentation
Media
Upsampling Range Data in Dynamic Environments
Speakers:
Hendrik Dahlkamp
- Stanford University
Abstract:
We present a flexible, parallelized method for fusing information from optical and range sensors based on an accelerated high-dimensional filtering approach. Our system takes as input a sequence of monocular camera images as well as a stream of sparse range measurements as obtained from a laser or other sensor system. Our method produces a dense, high-resolution depth map of the scene, automatically generating confidence values for every interpolated depth point. We describe how to integrate priors on object shape, motion and appearance and how to achieve an efficient implementation using parallel processing hardware such as GPUs.
 
Topics:
Computer Vision
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10F12
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