Imaging

Turbulence
The project aims to model the optical turbulence through hot air and exploits the model to remove turbulence effects from images as well as recover depth cues in the scene.
Document Rectification
The image of a deformed document is rectified by tracing the text and recovering the 3D deformation.
Theoretical guarantees for undistortion
The deformation field between a distorted image and the corresponding template is estimated. Global optimality criteria for the estimation are derived.
Flexible Voxels for Motion-Aware Videography
We wish to build video cameras whose spatial and temporal resolutions can be adjusted post-capture depending on the motion in the scene.
Optimal Coded Sampling for Temporal Super-Resolution
Multiple coded exposure cameras are used to obtain temporal super-resolution.
Coplanar Shadowgram Imaging
We present a practical approach to SFS using a novel technique called coplanar shadowgram imaging, that allows us to use dozens to even hundreds of views for visual hull reconstruction.
Shadow Cameras
We generalize dual photography for all types of light-sources using opaque, occluding masks.
Illustrating Motion through DLP Photography
We process photographs taken under DLP lighting to either summarize a dynamic scene or illustrate its motion.
Undistorting images captured through water fluctuations.
We estimate the shape of the water surface and recover the underwater scene without using any calibration patterns, multiple viewpoints or active illumination.
Endoscopic Imaging
We present a complete calibration of oblique endoscopes.
Assorted Pixels: Multidimensional Imaging
This page describes a new technology developed at Columbia's Computer Vision Laboratory that can be used to enhance the dynamic range (range of measurable brightness values) of virtually any imaging system.