Design of belief propagation based on FPGA for the multistereo CAFADIS camera
In this paper we describe a fast, specialized hardware implementation of the belief propagation algorithm for the CAFADIS camera, a new plenoptic sensor patented by the University of La Laguna. This camera captures the lightfield of the scene and can be used to find out at which depth each pixel is in focus. The algorithm has been designed for FPGA devices using VHDL. We propose a parallel and pipeline architecture to implement the algorithm without external memory. Although the BRAM resources of the device increase considerably, we can maintain real-time restrictions by using extremely high-performance signal processing capability through parallelism and by accessing several memories simultaneously. The quantifying results with 16 bit precision have shown that performances are really close to the original Matlab programmed algorithm.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2010 |
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| Erschienen: |
2010 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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| Enthalten in: |
Sensors (Basel, Switzerland) - 10(2010), 10 vom: 28., Seite 9194-210 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Magdaleno, Eduardo [VerfasserIn] |
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| Links: |
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| Themen: |
Depth estimation |
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| Anmerkungen: |
Date Completed 15.08.2012 Date Revised 21.10.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.3390/s101009194 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM213795019 |
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| 100 | 1 | |a Magdaleno, Eduardo |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Design of belief propagation based on FPGA for the multistereo CAFADIS camera |
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| 500 | |a Date Completed 15.08.2012 | ||
| 500 | |a Date Revised 21.10.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a In this paper we describe a fast, specialized hardware implementation of the belief propagation algorithm for the CAFADIS camera, a new plenoptic sensor patented by the University of La Laguna. This camera captures the lightfield of the scene and can be used to find out at which depth each pixel is in focus. The algorithm has been designed for FPGA devices using VHDL. We propose a parallel and pipeline architecture to implement the algorithm without external memory. Although the BRAM resources of the device increase considerably, we can maintain real-time restrictions by using extremely high-performance signal processing capability through parallelism and by accessing several memories simultaneously. The quantifying results with 16 bit precision have shown that performances are really close to the original Matlab programmed algorithm | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a FPGA | |
| 650 | 4 | |a depth estimation | |
| 650 | 4 | |a multistereo | |
| 650 | 4 | |a plenoptic sensors | |
| 650 | 4 | |a real-time processing | |
| 700 | 1 | |a Lüke, Jonás Philipp |e verfasserin |4 aut | |
| 700 | 1 | |a Rodríguez, Manuel |e verfasserin |4 aut | |
| 700 | 1 | |a Rodríguez-Ramos, José Manuel |e verfasserin |4 aut | |
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| 856 | 4 | 0 | |u http://dx.doi.org/10.3390/s101009194 |3 Volltext |
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