Real-Time Stereo Vision on a Reconfigurable System

Lee, SungHwan; Yi, Jongsu; Kim, JunSeong

doi:10.1007/11512622_32

Cited by 31 publications

(16 citation statements)

References 8 publications

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“…Properly designed cost function and selected window type are fundamentals of window based stereo matching method. Fixed window, rectangular window [21], multiple windows [22], adaptive weight (AW) [23], and epipolar geometry-based window [24] and adaptive shape window [25] are proposed in the stereo algorithm.…”

Section: Window Based Matchingmentioning

confidence: 99%

Software and Hardware Implementations of Stereo Matching

Zhou¹,

Sun²,

Zhan³

et al. 2014

IJSIP

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Section: Window Based Matchingmentioning

confidence: 99%

Software and Hardware Implementations of Stereo Matching

Zhou¹,

Sun²,

Zhan³

et al. 2014

IJSIP

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show abstract

“…SAD-based algorithms are among the least complex and more often used. Census-based algorithms [29][30][31][32], first introduced in [33], are common in real-time hardware-based systems [34][35][36][37][38] and may work better in the homogeneous zones of the image. Its complexity increases when used in software-based systems because of its bit-based nature.…”

Section: Related Workmentioning

confidence: 99%

Stereoscopic 3D video quality assessment based on depth maps and video motion

et al. 2013

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In this paper, we propose techniques to assess the objective quality for stereoscopic 3D video content, related to motion and depth map features. An analysis has been carried out in order to understand what causes the generation of visual discomfort in the viewer's eye when visualizing a 3D video. Motion is an important feature affecting 3D experience but is also often the cause of visual discomfort. Guidelines are obtained after applying the algorithm to quantify the impact over viewer's experience when common cases happen, such as high motion sequences, scene changes with abrupt parallax changes, or complete absence of stereoscopy.

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“…On the other hand, increasing the block size leads to a more linear increase of consumed logic elements due to their SAD optimized implementation. Another implementation that uses a modified version of the SAD computation is the one presented by (Lee et al, 2005). Various versions of SAD algorithms are synthesized by the authors to determine resource requirements and performance.…”

Section: Sad-based Implementationsmentioning

confidence: 99%