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VIEW-DEPENDENT NON-UNIFORM SAMPLING FOR IMAGE-BASED RENDERING

VIEW-DEPENDENT NON-UNIFORM SAMPLING FOR IMAGE-BASED RENDERING. Cha Zhang and Tsuhan Chen Dept. of Electrical and Computer Engineering, Carnegie Mellon University ICIP 2004. Introduction. Aims at further reducing the number of images required by IBR Recursive weighted vector quantization (VQ)

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VIEW-DEPENDENT NON-UNIFORM SAMPLING FOR IMAGE-BASED RENDERING

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  1. VIEW-DEPENDENT NON-UNIFORM SAMPLING FOR IMAGE-BASED RENDERING Cha Zhang and Tsuhan Chen Dept. of Electrical and Computer Engineering, Carnegie Mellon University ICIP 2004

  2. Introduction • Aims at further reducing the number of images required by IBR • Recursive weighted vector quantization (VQ) • The cameras can be rearranged

  3. Outline • Introduction • IBR SCENE CAPTURING AND RENDERING • VIEW-DEPENDENT IBR NON-UNIFORM SAMPLING • Formulation Based on the Angular Difference • Formulation Based on the Local Color Consistency • A Recursive Algorithm for View-Dependent Non-Uniform Sampling • EXPERIMENTAL RESULTS

  4. IBR SCENE CAPTURING AND RENDERING • Split the virtual view into many light rays • Assume a constant depth plane as geometry model

  5. VIEW-DEPENDENT IBR NON-UNIFORM SAMPLING

  6. Formulation Based on the Angular Difference • Cameras’ positions cj , j = 1, 2, · · · , N • Light rays li, i = 1, 2, · · · , L Equ. 3

  7. Formulation Based on the Local Color Consistency • Use the local color consistency as a better condition • σi is the variance of the projections of O to the k nearest neighboring images • f(·) is a function which produces a large wi when Ci is small,vise versa.

  8. A Recursive Algorithm for View-Dependent Non-Uniform Sampling • Initialzation wi • Update Wi • Weighted VQ as Equ. 3

  9. EXPERIMENTAL RESULTS constant depth plane at the teapot’s mouth constant depth plane at the teapot’s lid

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