Development of Stereo Matching Algorithm Based on Guided Filter

Hamzah, Affendi; Kadmin, A. F.; Hamid, M. S.; Gani, Shamsul Fakhar Abd; Salam, Sazilah; Mohamood, N.

doi:10.1109/icssa.2018.8535846

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…In the YUV/RGB domain, however, the SoA contains many different methods to obtain a depth estimation from two or more cameras. For HS images, many local methods were proposed during recent years [24][25][26] aiming to produce results rapidly without compromising the quality of the depth maps, which normally are noisy or their borders are not well defined. Some of them were also tested on GPU accelerators, obtaining processing times at around tens of milliseconds [27,28].…”

Section: Related Workmentioning

confidence: 99%

GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications

Sancho

Sutradhar

Rosa

et al. 2021

Sensors

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HyperSpectral (HS) images have been successfully used for brain tumor boundary detection during resection operations. Nowadays, these classification maps coexist with other technologies such as MRI or IOUS that improve a neurosurgeon’s action, with their incorporation being a neurosurgeon’s task. The project in which this work is framed generates an unified and more accurate 3D immersive model using HS, MRI, and IOUS information. To do so, the HS images need to include 3D information and it needs to be generated in real-time operating room conditions, around a few seconds. This work presents Graph cuts Reference depth estimation in GPU (GoRG), a GPU-accelerated multiview depth estimation tool for HS images also able to process YUV images in less than 5.5 s on average. Compared to a high-quality SoA algorithm, MPEG DERS, GoRG YUV obtain quality losses of −0.93 dB, −0.6 dB, and −1.96% for WS-PSNR, IV-PSNR, and VMAF, respectively, using a video synthesis processing chain. For HS test images, GoRG obtains an average RMSE of 7.5 cm, with most of its errors in the background, needing around 850 ms to process one frame and view. These results demonstrate the feasibility of using GoRG during a tumor resection operation.

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Section: Related Workmentioning

confidence: 99%

GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications

Sancho

Sutradhar

Rosa

et al. 2021

Sensors

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Local Stereo Matching: An Adaptive Weighted Guided Image Filtering-Based Approach

Zhang

Zhu

2020

Int. J. Patt. Recogn. Artif. Intell.

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Innovative applications in rapidly evolving domains such as robotic navigation and autonomous (driverless) vehicles rely on binocular computer vision systems that meet stringent response time and accuracy requirements. A key problem in these vision systems is stereo matching, which involves matching pixels from two input images in order to construct the output, a 3D map. Building upon the existing local stereo matching algorithms, this paper proposes a novel stereo matching algorithm that is based on a weighted guided filtering foundation. The proposed algorithm consists of three main steps; each step is designed with the goal of improving accuracy. First, the matching costs are computed using a unique combination of complementary methods (absolute difference, Census, and gradient algorithms) to reduce errors. Second, the costs are aggregated using an adaptive weighted guided image filtering method. Here, the regularization parameters are adjusted adaptively using the Canny method, further reducing errors. Third, a disparity map is generated using the winner-take-all strategy; this map is subsequently refined using a densification method to reduce errors. Our experimental results indicate that the proposed algorithm provides a higher level of accuracy in comparison to a collection of the existing state-of-the-art local algorithms.

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Development of Stereo Matching Algorithm Based on Guided Filter

Cited by 2 publications

References 18 publications

GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications

GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications

Local Stereo Matching: An Adaptive Weighted Guided Image Filtering-Based Approach

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