A Real-Time Large Disparity Range Stereo-System using FPGAs

Masrani, Divyang K.; MacLean, W. James

doi:10.1109/icvs.2006.6

Cited by 52 publications

(22 citation statements)

References 14 publications

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“…The same LWPC method is used in (Masrani and MacLean 2006). The platform used is the Transmogrifer-4 containing four (4) Altera Stratix S80 FPGAs.…”

mentioning

confidence: 99%

Review of Stereo Vision Algorithms: From Software to Hardware

Nalpantidis

Sirakoulis

Γαστεράτος

2008

International Journal of Optomechatronics

347

159

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Stereo vision, resulting in the knowledge of deep information in a scene, is of great importance in the field of machine vision, robotics and image analysis. In this article, an explicit analysis of the existing stereo matching methods, up to date, is presented. The presented algorithms are discussed in terms of speed, accuracy, coverage, time consumption, and disparity range. Towards the direction of real-time operation, the development of stereo matching algorithms, suitable for efficient hardware implementation is highly desirable. Implementations of stereo matching algorithms in hardware for real-time applications are also discussed in details.

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“…The same LWPC method is used in (Masrani and MacLean 2006). The platform used is the Transmogrifer-4 containing four (4) Altera Stratix S80 FPGAs.…”

mentioning

confidence: 99%

Review of Stereo Vision Algorithms: From Software to Hardware

Nalpantidis

Sirakoulis

Γαστεράτος

2008

International Journal of Optomechatronics

347

159

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“…Each iteration of this process takes hours or days to be completed (Schmit et al, 2000). Even if designing with FPGAs is faster than designing ASICs, it has a finite resource capacity which demands clever strategies for adapting versatile real-time systems (Masrani & MacLean, 2006). In this chapter, we present a high-speed reconfigurable architecture of the Census Transform algorithm (Zabih & Woodfill, 1994) for calculating the disparity map from a dense stereo-vision system.…”

Section: Introductionmentioning

confidence: 99%

High-Speed Architecure Based on FPGA for a Stereo-vision Algorithm

Ibarra-Manzano¹,

Almanza-Ojeda²

2011

Advances in Stereo Vision

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“…The work in [7] was one of the earliest ones to combine the development of cost calculation with the Laplacian of Gaussian in a DSP. More recently, several works developed different algorithms in fully functional FPGA-based systems ranging from relatively simple [8,9] to more complex ones [11,12,15,14]. The authors of [12,15] have designed full stereo vision systems incorporating the rectification preprocessing step.…”

Section: Relevant Researchmentioning

confidence: 99%

An FPGA-Based Real-Time System for 3D Stereo Matching, Combining Absolute Differences and Census with Aggregation and Belief Propagation

Papadimitriou

Thomas

Dollas

2015

IFIP Advances in Information and Communication Technology

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Abstract. The implementation of 3D stereo matching in real time is an important problem for many vision applications and algorithms. The current work, extending previous results by the same authors, presents in detail an architecture which combines the methods of Absolute Differences, Census, and Belief Propagation in an integrated architecture suitable for implementation with Field Programmable Gate Array (FPGA) logic. Emphasis on the present work is placed on the justification of dimensioning the system, as well as detailed design and testing information for a fully placed and routed design to process 87 frames per sec (fps) in 1920 × 1200 resolution, and a fully implemented design for 400 × 320 which runs up to 1570 fps.

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A Real-Time Large Disparity Range Stereo-System using FPGAs

Cited by 52 publications

References 14 publications

Review of Stereo Vision Algorithms: From Software to Hardware

Review of Stereo Vision Algorithms: From Software to Hardware

High-Speed Architecure Based on FPGA for a Stereo-vision Algorithm

An FPGA-Based Real-Time System for 3D Stereo Matching, Combining Absolute Differences and Census with Aggregation and Belief Propagation

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