Image Capture

Wednesday, 2 August
10:30 am - 12:15 pm
Hall B2
Session Chair: Szymon Rusinkiewicz, Princeton University

Projection Defocus Analysis for Scene Capture and Image Display
This work proposes a linear model for projector defocus. The model is used to exploit projector defocus to achieve robust 3D reconstructions of scenes as well as compensate for projector defocus to achieve depixelation and focused projection at multiple depths.

Li Zhang
Shree K. Nayar
Columbia University


Multiview Radial Catadioptric Imaging for Scene Capture
This work proposes a family of radial imaging systems that use a camera and a curved mirror to capture a scene from multiple viewpoints, within a single image. The proposed systems are used to recover 3D structure, capture complete texture maps, and estimate BRDFs.

Sujit Kuthirummal
Shree K. Nayar
Columbia University


Light Field Microscopy
By inserting a microlens array into a microscope, one can capture light fields of tiny objects in a single photograph. From these light fields, one can compute perspective flybys, focal stacks, and volume datasets.

Marc Levoy
Ren Ng
Andrew Adams
Matthew Footer
Mark Horowitz
Stanford University


Fast Separation of Direct and Global Components of a Scene Using High Frequency Illumination
This work proposes a fast capture method for separating a scene into its direct and global illumination components. The method can handle a variety of global effects including inter-reflections, subsurface scattering, and volumetric scattering.

Shree K. Nayar
Gurunandan Krishnan
Columbia University

Michael D. Grossberg
City University of New York

Ramesh Raskar
Mitsubishi Electric Research Laboratories (MERL)