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» The RIM Framework for Image Processing
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93
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ICIP
2005
IEEE
15 years 11 months ago
Bayesian visual tracking with existence process
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...
Jaco Vermaak, Mark Briers, Patrick Pérez, S...
DATE
2010
IEEE
155views Hardware» more  DATE 2010»
15 years 2 months ago
Scheduling and energy-distortion tradeoffs with operational refinement of image processing
— Ubiquitous image processing tasks (such as transform decompositions, filtering and motion estimation) do not currently provide graceful degradation when their clock-cycles budg...
Davide Anastasia, Yiannis Andreopoulos
CODES
2006
IEEE
15 years 3 months ago
The pipeline decomposition tree: : an analysis tool for multiprocessor implementation of image processing applications
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resourcerelated constraints. As this complexity increases, th...
Dong-Ik Ko, Shuvra S. Bhattacharyya
TSMC
2002
110views more  TSMC 2002»
14 years 9 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
82
Voted
ICSEA
2009
IEEE
15 years 4 months ago
Testing of Image Processing Algorithms on Synthetic Data
—In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by s...
Kilian von Neumann-Cosel, Erwin Roth, Daniel Lehma...