An image-based approach to three-dimensional computer graphics
An image-based approach to three-dimensional computer graphics
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
LDI tree: a hierarchical representation for image-based rendering
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A real-time distributed light field camera
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Layered-Depth Image Using Pixel Grouping
VSMM '01 Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01)
A List-Priority Rendering Algorithm for Redisplaying Projected Surfaces
A List-Priority Rendering Algorithm for Redisplaying Projected Surfaces
An Adaptive Sampling Method for Layered Depth Image
CGI '04 Proceedings of the Computer Graphics International
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
A Method to Generate Soft Shadows Using a Layered Depth Image and Warping
IEEE Transactions on Visualization and Computer Graphics
Inter-camera coding of multi-view video using layered depth image representation
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Preprocessing of depth and color information for layered depth image coding
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
A framework for multi-view video coding using layered depth images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Compression of the layered depth image
IEEE Transactions on Image Processing
Survey of image-based representations and compression techniques
IEEE Transactions on Circuits and Systems for Video Technology
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The multi-view video is a collection of multiple videos, capturing the same scene at different viewpoints. Since it contains more affluent information than a single video, it can be applied to various applications, such as 3DTV, free viewpoint TV, surveillance, sports matches, and so on. However, the data size of the multi-view video linearly increases as the number of cameras, therefore it is necessary to develop an effective framework to represent, process, and transmit those huge amounts of data. In recent, multi-view video coding is getting lots of attention as efficient video coding technologies are being developed. Although most of multi-view video coding algorithms are based on the state-of-the-art H.264/AVC video coding technology, they do not utilize rich 3-D information. In this paper, we propose a new framework using the concept of layered depth image (LDI), one of the efficient image-based rendering techniques, to efficiently represent and process multi-view video data. We describe how to represent natural multi-view video based on the LDI approach and the overall framework to process those converted data.