A Real-Time Embedded System for Stereo Vision Preprocessing Using an FPGA

Kjær-Nielsen, Anders; Jensen, L.B.W.; Sørensen, Anders Stengaard; Krüger, Norbert

doi:10.1109/reconfig.2008.63

Cited by 12 publications

(6 citation statements)

References 2 publications

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“…Focusing on FPGA implementations, many alternatives have been designed for overcoming the problems mentioned earlier about the input/output mapping function complexity. Several papers adopt a straightforward porting of the software Look-up-Table version [14], [15]. Given the high amount of memory needed in these approaches, external dynamic memories are required, leading to bulky and expensive hardware systems when such memory is not required for other purposes.…”

Section: Related Workmentioning

confidence: 99%

Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms

Febbo

Mattoccia

Mutto³

2016

2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)

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Abstract-Image distortion correction is a critical preprocessing step for a variety of computer vision and image processing algorithms. Standard real-time software implementations are generally not suited for direct hardware porting, so appropriated versions need to be designed in order to obtain implementations deployable on FPGAs. In this paper, hardware-compatible techniques for image distortion correction are introduced and analyzed in details. The considered solutions are compared in terms of output quality by using a geometricalerror-based approach, with particular emphasis on robustness with respect to increasing lens distortion. The required amount of hardware resources is also estimated for each considered approach.

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Section: Related Workmentioning

confidence: 99%

Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms

Febbo

Mattoccia

Mutto³

2016

2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)

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“…The loss compressed LUT method usually applies downsampling to reduce a size of LUT in the encoding process and interpolation to fill void pixels in the decoding process as in [9], [10]. Given that interpolation change calculated values based on relationship with adjacent values, a rectified image is distorted.…”

Section: A Loss Compressionmentioning

confidence: 99%

“…To overcome this issue, loss and lossless compression techniques are applied. One of the loss compression methods subsamples rectification mapping data and reconstructs using interpolation as in [9], [10]. Another recent research uses the run-length encoding technique with different order as in [11].…”

Section: Introductionmentioning

confidence: 99%

A real-time rectification using an adaptive differential encoding for high-resolution video

Kim

Kang

et al. 2014

16th International Conference on Advanced Communication Technology

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Abstract-Previously, various rectification methods using compressed lookup table have been studied for real-time hardware stereo vision system. These loss compression methods may occur distortion that could corrupt disparity estimation process. Differentially encoded lookup table method which is lossless compression has no distortion with reasonable compression ratio. However, the method is limited to lowresolution and low warping movement. In this paper, we propose an adaptively differential encoding method. Our proposed algorithm has approximately 18~26% compression ratio which is comparable to the previous method and tolerates high-resolution video.

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“…To resolve the problem, two approaches have been used: one is a simplified calculation of PPM [13] and the second is a hardware approach using a field-programmable gate array (FPGA) [14][15][16]. However, the first approach still requires an excessive computation time.…”

Section: Introductionmentioning

confidence: 99%

Efficient Hardware Implementation of Real-time Rectification using Adaptively Compressed LUT

Kim

Oh³

et al. 2016

JSTS:Journal of Semiconductor Technology and Science

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Abstract-Rectification is used as a preprocessing to reduce the computation complexity of disparity estimation. However, rectification also requires a complex computation. To minimize the computing complexity, rectification using a lookup-table (R-LUT) has been introduced. However, since, the R-LUT consumes large amount of memory, rectification with compressed LUT (R-CLUT) has been introduced. However, the more we reduce the memory consumption, the more we need decoding overhead. Therefore, we need to attain an acceptable trade-off between the size of LUT and decoding overhead. In this paper, we present such a trade-off by adaptively combining simple coding methods, such as differential coding, modified run-length coding (MRLE), and Huffman coding. Differential coding is applied to transform coordinate data into a differential form in order to further improve the coding efficiency along with Huffman coding for better stability and MRLE for better performance. Our experimental results verified that our coding scheme yields high performance with maintaining robustness. Our method showed about ranging from 1 % to 16 % lower average inverse of compression ratio than the existing methods. Moreover, we maintained low latency with tolerable hardware overhead for realtime implementation.

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A Real-Time Embedded System for Stereo Vision Preprocessing Using an FPGA

Cited by 12 publications

References 2 publications

Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms

Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms

A real-time rectification using an adaptive differential encoding for high-resolution video

Efficient Hardware Implementation of Real-time Rectification using Adaptively Compressed LUT

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