Abstract | ||
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The MEMOCODE 2013 design contest problem is stereo matching. Given a stereo image pair (i.e., a left image and a right image), the challenge is to infer the depth information (i.e., third dimension) for each pixel in the image utilizing belief propagation algorithm. Contestants were given a month to develop a fast and/or cost-effective system for stereo matching. From a total of eight participating teams, three winners were selected based on pure-performance and cost-adjusted-performance metrics, taking into consideration inference accuracy achieved by their design solutions. The winning teams used hierarchical belief propagation algorithm on Intel multicore systems, streaming tree-reweighted message passing (TRW-S) algorithm on Convey HC-1 FPGA platform, and tile-based belief propagation algorithm on Nvidia GTX 680 GPU platform. |
Year | Venue | Keywords |
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2013 | Formal Methods and Models for Codesign | field programmable gate arrays,hardware-software codesign,image matching,stereo image processing,HC-1 FPGA platform,Intel multicore systems,MEMOCODE 2013 hardware-software codesign contest,Nvidia GTX 680 GPU platform,belief propagation algorithm,cost-adjusted performance metrics,depth information,hierarchical belief propagation algorithm,inference accuracy,stereo image pair,stereo matching,streaming tree-reweighted message passing algorithm,tile-based belief propagation algorithm,FPGAs,GPUs,belief propagation,hardware-software codesign,multicore,stereo matching |
Field | DocType | ISSN |
Stereo matching,Co-design,Computer science,Inference,CONTEST,Field-programmable gate array,Theoretical computer science,Real-time computing,Pixel,Message passing,Belief propagation | Conference | 1936-9492 |
ISBN | Citations | PageRank |
978-1-4799-0903-2 | 3 | 0.46 |
References | Authors | |
5 | 1 |
Name | Order | Citations | PageRank |
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Eriko Nurvitadhi | 1 | 399 | 33.08 |