ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Accelerating depth image-based rendering using GPU
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Content-based 3D model retrieval using a single depth image from a low-cost 3D camera
The Visual Computer: International Journal of Computer Graphics
| Hi-index | 0.00 |
This paper describes a new family of three-dimensional (3-D) representations for computer graphics and animation, called depth image-based representations (DIBR), which have been adopted into MPEG-4 Part16: Animation Framework eXtension (AFX). Idea of the approach is to build a compact and photorealistic representation of a 3-D object or scene without using polygonal mesh. Instead, images accompanied by depth values for each pixel are used. This type of representation allows us to build and render novel views of objects and scene with an interactive rate. There are many different methods for the image-based rendering with depths, and the DIBR format is designed to efficiently represent the information necessary for such methods. The main formats of the DIBR family are SimpleTexture (an image together with depth array), PointTexture (an image with multiple pixels along each line of sight), and OctreeImage (octree-like data structure together with a set of images containing viewport parameters). In order to store and transmit the DIBR object, we develop a compression algorithm and bitstream format for OctreeImage representation.