General Information

Office

Science Building III 334
C.S.U. Bakersfield

Office Hours

Spring: MW 12-1PM, Tu 1-2PM, R 1:45-3:45PM.

Contact Info

Preferred method of contact: acruz37@csub.edu

Research at a Glance

Computer Vision, Image Processing and Machine Learning

Affect Analysis and Recognition

Up to 55% of communication occurs via non-verbal cues. Computer vision systems have the potential to automatically detect apparent facial expression to determine underlying affect. This has wide-spread applications in lie detection, human-computer interaction and observation analysis (pictured, collaboration with Motor Trend).

Videobioinformatics

Despite the tremendous advances in automatic computer analysis, a significant proportion of video-based biological research is still quantified by time-consuming and subjective human analysis. Computer vision systems can be applied to quickly analyze videos enabling a high-thoroughput and accuracy. Featured in Science.

Bio-inspired Computer Vision

One of the great challenges to artificial intelligence is the emulation and understanding human behavior. While the human brain holds a great many mysteries, vision and face processing in particular are among the most well understood cognitive processes. In bio-inspired computer vision, the human visual system is used as inspiration for vision algorithms.

Thermographic Analysis of Photovoltaics

By 2050, the world will need an estimated 20 terawatts of non-CO2 energy to curb the impending greenhouse gas production crisis. Vision technologies can be deployed in parallel with these systems for defect detection, quality control and monitoring of systems. Advanced computer methods are being developed to allow utilities to remotely assess the health of PV panels at quickly at a large-scale with low-cost IR vision systems.

Facilities

A description of servers and capabilities at COMPLAB

The COMputer Perception LABoratory (COMPLAB), under the supervision of the PI, is a state-of-the-art research facility that facilitates enriching and engaging undergraduate research experiences. Servers include a cutting-edge 32 core Dell PowerEdge 7910 research server with Nvidia Quadro K6000 for GPU computing, 3-D scanning equipment, high definition digital cameras, long-wave infra-red theromographs, embedded computing cameras, and nine Dell workstations with MATLAB. Shared facilities include department servers: a Dell PowerEdge 6950 server with 4 dual core 3GHz Opteron processors, 64GB RAM and approximately 3 TB of storage, two Dell PowerEdge R515 servers with 6 core 1.7GHz Opteron processors 16GB RAM and 500GB storage, and the State Farm Advanced Computing Lab. The State Farm Advanced Computing Lab was purchased through a donation by State Farm. The advanced Dell Precision 5000-series workstations are designed for state-of-the-art computational and graphical usage.