Signal and Image Processing (SIP) Lab

The Signal and Image Processing (SIP) Lab at UTD was established in 2002 to conduct research in various aspects of signal and image processing. The SIP Lab current research thrusts are: (i) Development and real-time implementation of signal and image processing algorithms on mobile devices, in particular on smartphones, (ii) biomedical signal and image analysis. Current active projects include:

·         Real-time fusion of data from inertial sensor and depth camera for robust recognition of hand gestures and human body movements 

·         Development of computationally efficient 3D scene reconstruction from video image sequences

·         Development and real-time implementation of background noise classification on smartphones for cochlear implant and hearing aid applications

·         Real-time on-the-fly unsupervised clustering

SIP Lab is equipped with the following hardware implementation platforms: DM350/DM320/DM270 (digital camera platforms), OMAP (mobile platforms), and           C6x-DSP boards.

The SIP Lab projects have been sponsored or supported by the following organizations:

Texas Instruments, National Instruments, National Science Foundation, UT Southwestern Medical Center, National Institutes of Health, Texas Medical Research Collaborative, Cochlear Limited, and UTD Erik Jonsson School of Engineering and Computer Science.

 EE-Department | University of Texas at Dallas