English

Geometric Scene Refocusing

Computer Vision and Pattern Recognition 2020-12-22 v1

Abstract

An image captured with a wide-aperture camera exhibits a finite depth-of-field, with focused and defocused pixels. A compact and robust representation of focus and defocus helps analyze and manipulate such images. In this work, we study the fine characteristics of images with a shallow depth-of-field in the context of focal stacks. We present a composite measure for focus that is a combination of existing measures. We identify in-focus pixels, dual-focus pixels, pixels that exhibit bokeh and spatially-varying blur kernels between focal slices. We use these to build a novel representation that facilitates easy manipulation of focal stacks. We present a comprehensive algorithm for post-capture refocusing in a geometrically correct manner. Our approach can refocus the scene at high fidelity while preserving fine aspects of focus and defocus blur.

Keywords

Cite

@article{arxiv.2012.10856,
  title  = {Geometric Scene Refocusing},
  author = {Parikshit Sakurikar and P. J. Narayanan},
  journal= {arXiv preprint arXiv:2012.10856},
  year   = {2020}
}
R2 v1 2026-06-23T21:06:19.953Z