Depth Map Generation Using Local Depth Hypothesis for 2D-TO-3D Conversion

Yang, Na Eun; Lee, Ji Won; Park, Rae-Hong

doi:10.5121/ijcga.2013.3101

Cited by 9 publications

(23 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To have promising 3D results, semi-automatic methodologies have been proposed with little users’ interference. Generation of depth map based on local depth hypothesis is proposed by [26]. In [26], depth map is produced using vanishing point which are considered farthest points in an input image.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Generation of depth map based on local depth hypothesis is proposed by [26]. In [26], depth map is produced using vanishing point which are considered farthest points in an input image. The dark shades of the gray scale image are assigned to these farthest points and bright shades to closest points.…”

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

View full text Add to dashboard Cite

show abstract

“…In all these researches interested in the depth map, we find in the literature two categories of the researchers, the first category is interested in the exploitation of the depth map [9,10,11] and the second is interested only to the improvement of the quality of this map [12,13,15,16],so that other researchers use it in their research.…”

Section: Related Workmentioning

confidence: 99%

“…For a successful 2D-3D conversion, depth information is required. Then, for this reason Yang et al [16] proposed an interactive method of depth map generation from a single image for 2D-3D conversion using a local depth hypothesis. The use of a depth variation hypothesis can reduce human effort to generate a depth map.…”

Section: Related Workmentioning

confidence: 99%

Three-Dimensional Reconstruction Using the Depth Map

Abderrahmani¹,

R.Lasri²,

Satori³

2019

9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)

View full text Add to dashboard Cite

This paper presents an approach to reconstructing 3D objects based on the generation of dense depth map. From a two 2D images (a pair of images) of the same 3D object, taken from different points of view, a new grayscale image is estimated. It is an intermediate image between a purely 2D image and a 3D image where each pixel of this image represents a z-height according to its gray level value. Our objective therefore is to play on the precision of this map in order to prove the interest and effectiveness of this map on the quality of the reconstruction.

show abstract

“…The technique in this way pondered was utilized to each joint in the human body consistently. Na-Eun Yang et.al [12] ventures a cooperated method of profundity map creation from a sole picture for the two dimensional to three dimensional change With the assistance of the hypothesis of profundity qualification can decreases the human undertaking to induce a profundity map. The primary term fundamental from a client was to spot couple of conspicuous areas to be perceived dependent on the profundity variety.…”

Section: Introductionmentioning

confidence: 99%

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

Y¹

2019

IJRASET

View full text Add to dashboard Cite

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.

show abstract

Depth Map Generation Using Local Depth Hypothesis for 2D-TO-3D Conversion

Abstract: ABSTRACT

Cited by 9 publications

References 20 publications

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

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

Three-Dimensional Reconstruction Using the Depth Map

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

Contact Info

Product

Resources

About