A retargeting method for stereoscopic 3D video

Liu, Yi; Sun, Lijuan

doi:10.1007/s41095-015-0016-2

Cited by 17 publications

(8 citation statements)

References 32 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These operators have been widely used in depth adjustment in stereoscopic images and videos for better perceptual quality. Chang et al [2] and Liu et al [17] proposed the content-aware stereoscopic image and video resizing methods, respectively, which can adapt images and videos to different target display devices and adjust the perceived depth in a visual comfort zone. Lee et al [12] proposed a nonlinear disparity remapping system to make the depth manipulation more intuitive and effective.…”

Section: Stereoscopic Image and Video Editingmentioning

confidence: 99%

Stereoscopic image stitching with rectangular boundaries

2019

View full text Add to dashboard Cite

This paper proposes a novel algorithm for stereoscopic image stitching, which aims to produce stereoscopic panoramas with rectangular boundaries. As a result, it provides wider field of view and better viewing experience for users. To achieve this, we formulate stereoscopic image stitching and boundary rectangling in a global optimization framework that simultaneously handles feature alignment, disparity consistency and boundary regularity. Given two (or more) stereoscopic images with overlapping content, each containing two views (for left and right eyes), we represent each view using a mesh and our algorithm contains three main steps: We first perform a global optimization to stitch all the left views and right views simultaneously, which ensures feature alignment and disparity consistency. Then, with the optimized vertices in each view, we extract the irregular boundary in the stereoscopic panorama, by performing polygon Boolean operations in left and right views, and construct the rectangular boundary constraints. Finally, through a global energy optimization, we warp left and right views according to feature alignment, disparity consistency and rectangular boundary constraints. To show the effectiveness of our method, we further extend our method to disparity adjustment and stereoscopic stitching with large horizon. Experimental results show that our method can produce visually pleasing stereoscopic panoramas without noticeable distortion or visual fatigue, thus resulting in satisfactory 3D viewing experience.

show abstract

Section: Stereoscopic Image and Video Editingmentioning

confidence: 99%

Stereoscopic image stitching with rectangular boundaries

2019

View full text Add to dashboard Cite

show abstract

“…Our work is also related to stereo image editing. Various editing tools such as object cut-and-paste [31] [47] [33], resizing [30] and warping [37] have been developed for stereo image pairs. Patch-based methods have also been explored for hole filling in stereo pairs [34], but this method cannot be directly extended to plenoptic images.…”

Section: R Elated Workmentioning

confidence: 99%

PlenoPatch: Patch-Based Plenoptic Image Manipulation

Zhang

Wang

Shechtman

et al. 2017

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Patch-based image synthesis methods have been successfully applied for various editing tasks on still images, videos and stereo pairs. In this work we extend patch-based synthesis to plenoptic images captured by consumer-level lenselet-based devices for interactive, efficient light field editing. In our method the light field is represented as a set of images captured from different viewpoints. We decompose the central view into different depth layers, and present it to the user for specifying the editing goals. Given an editing task, our method performs patch-based image synthesis on all affected layers of the central view, and then propagates the edits to all other views. Interaction is done through a conventional 2D image editing user interface that is familiar to novice users. Our method correctly handles object boundary occlusion with semi-transparency, thus can generate more realistic results than previous methods. We demonstrate compelling results on a wide range of applications such as hole-filling, object reshuffling and resizing, changing object depth, light field upscaling and parallax magnification.

show abstract

“…object semantics [24] and symmetry [25]. Image re-targeting has also been extended to deal with image enlarging [26], stereo images [27], video sequences [28] and stereoscopic 3D video [29].…”

Section: Content Aware Resizingmentioning

confidence: 99%

Intelligent Visual Media Processing: When Graphics Meets Vision

Cheng

Hou

Zhang

et al. 2017

J. Comput. Sci. Technol.

View full text Add to dashboard Cite

The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the visual media around us. There are three major driving forces behind this phenomenon: i) the availability of big data from the Internet has created a demand for dealing with the ever increasing, vast amount of resources; ii) powerful processing tools, such as deep neural networks, provide effective ways for learning how to deal with heterogeneous visual data; iii) new data capture devices, such as the Kinect, bridge between algorithms for 2D image understanding and 3D model analysis. These driving forces have emerged only recently, and we believe that the computer graphics and computer vision communities are still in the beginning of their honeymoon phase. In this work we survey recent research on how computer vision techniques benefit computer graphics techniques and vice versa, and cover research on analysis, manipulation, synthesis, and interaction. We also discuss existing problems and suggest possible further research directions.

show abstract

A retargeting method for stereoscopic 3D video

Cited by 17 publications

References 32 publications

Stereoscopic image stitching with rectangular boundaries

Stereoscopic image stitching with rectangular boundaries

PlenoPatch: Patch-Based Plenoptic Image Manipulation

Intelligent Visual Media Processing: When Graphics Meets Vision

Contact Info

Product

Resources

About