Title :
Two approaches to incorporate approximate geometry into multi-view image coding
Author :
Girod, Bernd ; Magnor, Marcus
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
Two compression schemes for coding multiple images of a static scene are compared. Both codecs apply approximate 3-D scene geometry: in model-aided coding, images are predicted by model-driven disparity compensation, while the model-based coder uses the geometry to convert images into texture maps for compression. Images of real-world objects are used to evaluate both codecs. The coding performance is examined subject to varying geometry accuracy. Compression factors of up to 1000:1 at an acceptable reconstruction quality verify the usefulness of the 3-D geometry for coding multi-viewpoint imagery.
Keywords :
approximation theory; codecs; data compression; decoding; image coding; image reconstruction; image texture; rendering (computer graphics); approximate 3D scene geometry; codecs; coding performance; geometry based rendering; image compression; model-aided coding; model-based coder; model-driven disparity compensation; multi-view image coding; progressive decoding; real-world objects; reconstruction quality; static scene; texture maps; varying geometry accuracy; Codecs; Geometry; Hardware; Image coding; Image converters; Image reconstruction; Layout; Predictive models; Rendering (computer graphics); Solid modeling;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899210