Return to Wisconsin Computer Vision Group Publications Page

Plenoptic Image Editing
S. M. Seitz and K. N. Kutulakos, Computer Science Department Technical Report 647, University of Rochester, Rochester, NY, January 1997.


This paper presents a new class of interactive image editing operations designed to maintain consistency between multiple images of a physical 3D object. The distinguishing feature of these operations is that edits to any one image propagate automatically to all other images as if the (unknown) 3D object had itself been modified. The approach is useful first as a power-assist that enables a user to quickly modify many images by editing just a few, and second as a means for constructing and editing image-based scene representations by manipulating a set of photographs. The approach works by extending operations like image painting, scissoring, and morphing so that they alter an object's plenoptic function in a physically-consistent way, thereby affecting object appearance from all viewpoints simultaneously. A key element in realizing these operations is a new volumetric decomposition technique for reconstructing an object's plenoptic function from an incomplete setof camera viewpoints.