2D to 3D conversion with motion-type adaptive depth estimation

Jung, Cheolkon; Wang, Lei; Zhu, Xiaohua; Jiao, Licheng

doi:10.1007/s00530-014-0375-z

Cited by 8 publications

(7 citation statements)

References 27 publications

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“…We compared the proposed method and two other motionbased methods 6,34 to demonstrate the difference between them; the experimental results are shown in Fig. 20.…”

Section: Motion Sequence Resultsmentioning

confidence: 99%

“…20. 6, the depth was generated by using a motion-type adaptive approach. 6, the depth was generated by using a motion-type adaptive approach.…”

Section: Motion Sequence Resultsmentioning

confidence: 99%

“…The classification method is based on the hypothesis that the ratio of moving pixels can infer the image motion type, 6 and this process allows us to leverage different depth strategies for different scenario types. To obtain perceptually reasonable depth maps having structures that conform to the actual scene, we classify the scenario type into four classes according to the relative movements between the object and the camera.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Jiang

2015

Opt. Eng

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Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspxAbstract. Two-dimensional to three-dimensional (3-D) conversion in 3-D video applications has attracted great attention as it can alleviate the problem of stereoscopic content shortage. Depth estimation is an essential part of this conversion since the depth accuracy directly affects the quality of a stereoscopic image. In order to generate a perceptually reasonable depth map, a comprehensive depth estimation algorithm that considers the scenario type is presented. Based on the human visual system mechanism, which is sensitive to a change in the scenario, this study classifies the type of scenario into four classes according to the relationship between the movements of the camera and the object, and then leverages different strategies on the basis of the scenario type. The proposed strategies efficiently extract the depth information from different scenarios. In addition, the depth generation method for a scenario in which there is no motion, neither of the object nor the camera, is also suitable for the single image. Qualitative and quantitative evaluation results demonstrate that the proposed depth estimation algorithm is very effective for generating stereoscopic content and providing a realistic visual experience. © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-2 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-3 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-5 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-10 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-12 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary...

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“…We compared the proposed method and two other motionbased methods 6,34 to demonstrate the difference between them; the experimental results are shown in Fig. 20.…”

Section: Motion Sequence Resultsmentioning

confidence: 99%

“…20. 6, the depth was generated by using a motion-type adaptive approach. 6, the depth was generated by using a motion-type adaptive approach.…”

Section: Motion Sequence Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Jiang

2015

Opt. Eng

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“…[11] proposed an algorithm for estimation of depth map which is produced by finding defocus/blur edge information using wavelet transformation and the canny edge detector. Depth from objects motion in video frames has been proposed by [15]. Tsai et al .…”

Section: Related Workmentioning

confidence: 99%

Degraded image enhancement by image dehazing and Directional Filter Banks using Depth Image based Rendering for future free-view 3D-TV

et al. 2019

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DIBR-3D technology has evolved over the past few years with the demands of consumers increasing in recent times for future free-view 3D videos on their home televisions. The main issue in 3D technology is the lack of 3D content available to watch using the traditional TV systems. Although, some sophisticated devices like stereoscopic cameras have been used to fill the gap between the 3D content demand and 3D content supply. But the content generated through these sophisticated devices can not be displayed on the traditional TV systems, so there needs to be some mechanism which is inline with the traditional TV. Furthermore, the huge collection of existing 2D content should be converted to 3D using depth image-based rendering techniques. This conversion technique can highly contribute in overcoming the shortage problem of the 3D content. This paper presents a novel approach for converting 2D degraded image for DIBR 3D-TV view. This degraded or noisy/blur image is enhanced through image dehazing and Directional Filter Bank (DFB). This enhancement is necessary because of the occlusion effect or hole filling problem that occurs due to imperfect depth map. The enhanced image is then segmented into the foreground image and the background image. After the segmentation, the depth map is generated using image profiles. Moreover, Stereoscopic images are finally produced using the DIBR procedure which is based on the 2D input image and the corresponding depth map. We have verified the results of the proposed approach by comparing the results with the existing state-of-the-art techniques.

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“…The planned method constructs hypothesis of each noticeable area and causes a profundity guide of an info picture. Cheolkon Jun et.al [13] have expected a two measurement to three measurement change with movement type versatile profundity appraisal. Due the critical profundity signal was movement parallax in that procedure, at first the movement appraisal was performed in the midst of the sequential video outlines.…”

Section: Introductionmentioning

confidence: 99%

A Review Paper on 2D to 3D Conversion of HD Medical Images

Y¹

2019

IJRASET

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Ongoing advances in 3D have expanded the significance of stereoscopic substance creation and preparing. Hence, changing over existing 2D substance into 3D substance is critical for developing 3D showcase. The most troublesome errand in 2D-to-3D transformation is evaluating profundity map from a solitary view picture. Hence, we propose a novel calculation to gauge the guide by mimicking murkiness as a worldwide picture highlight. Moreover, the visual relics of the blended left-and right-perspectives can likewise be viably killed by recouping the detachment and loss of forefront protests in the proposed calculation. Test results demonstrate that our calculation can create a decent 3D stereoscopic impact and keep the partition and misfortune ancient rarities with low computational multifaceted nature. Computerized Image handling is connected under the region of prescription in order to recognize the afflictions in the collection of people. The three dimensional recreation (3D) of tumor from the restorative pictures is a huge technique in the territory of medication while it helps the doctors in distinguishing proof, careful arranging and organic examination. In this paper, we did a proper research review analysis in terms of all previous existing approaches, as per result we found some of the common problem which needs to be solved.

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2D to 3D conversion with motion-type adaptive depth estimation

Cited by 8 publications

References 27 publications

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Degraded image enhancement by image dehazing and Directional Filter Banks using Depth Image based Rendering for future free-view 3D-TV

A Review Paper on 2D to 3D Conversion of HD Medical Images

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