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UCSD Computer Vision

Satya Mallick, PhD






Projects


Photometric Stereo

Theory of Illumination

Vision for Structural Biology

Reconstruction with Arbitrary BRDFs

SUV Color Space

We present a photometric stereo method for non-diffuse materials that does not require an explicit reflectance model or reference object. By computing a data-dependent rotation of RGB color space, we show that the specular reflection effects can be separated from the much simpler, diffuse (approxima...

Automated CTF Estimation

In this paper we present a completely automated algorithm for estimating the parameters of the contrast transfer function (CTF) of a transmission electron microscope. The primary contribution of this paper is the determination of the astigmatism prior to the estimation of the CTF parameters. The CT...

Refractive Optical Flow

This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object from a video sequence acquired as the background behind the refracting object moves. By structure here we mean a represen...

Particle Detection in Cryo-Electron Micrographs

A new learning-based approach is presented for particle detection in cryo-electron micrographs using the Adaboost learning algorithm. The approach builds directly on the successful detectors developed for the domain of face detection. It is a discriminative algorithm which learns important features...




Publications


2006
Mallick S., Agarwal S., Kriegman D., Belongie S., Carragher B., Potter C., "Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, 2006. [BibTex][pdf]
2004
Agarwal S., Mallick S., Kriegman D., Belongie S., "On Refractive Optical Flow", ECCV, Prague, Czech Republic, Springer Verlag, 2004. [BibTex]