Title :
MEMOCODE 2013 hardware/software co-design contest: Stereo matching
Author :
Nurvitadhi, Eriko
Author_Institution :
Intel Sci. & Technol. Center for Embedded Comput., Pittsburgh, PA, USA
Abstract :
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.
Keywords :
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; Accuracy; Algorithm design and analysis; Belief propagation; Field programmable gate arrays; Inference algorithms; Software; Stereo vision; FPGAs; GPUs; belief propagation; hardware-software codesign; multicore; stereo matching;
Conference_Titel :
Formal Methods and Models for Codesign (MEMOCODE), 2013 Eleventh IEEE/ACM International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-0903-2