Combined Research-Curriculum Development in Computer Vision  The overall goal of this project, sponsored by  the National Science  Foundation,    is    to    increase   the effectiveness of student learning experience by integrating the results of recent and ongoing research on Computer Vision into the Computer Science and Engineering Curriculum at the University of Nevada, Reno (UNR). Our philosophy is that the integration of teaching with research should happen at all levels, leading to a comprehensive instructional program, offering systematic and constant research experiences for as many students as possible. This project seeks to immerse students into research through systematic and structured activities starting at the sophomore year and continuing until graduation, making research an integral part of students' education.

Classification of Heliothis Zea Insect from Images This project addresses laboratory experiments at an insect lab which grows insect larvae to study the effects of biotech insecticidal proteins on insects. A computer vision algorithm processes digital photographs of experiments with the intent of classifying the insects as alive or dead, and classifying their larval instar stage. This project evaluates neural network models and statistical models as two alternative methods to reach this goal.

Face Detection and Verification

Panoramic Video for an Intelligent Room
This project is targeted at a real-time modular system for vision-based intelligent environments. GlobeAll is a prototype based on an electronic pan-tilt-zoom camera array. The visual input is acquired by a multiple-camera system, which generates a composite view of the scene with a wide field of view (as a planar mosaic) and a view of the desired region of interest (as an electronically-controlled virtual camera). By maintaining an adaptive background model in mosaic space, the system segments the foreground objects as planar layers. Among them, targets are selected and tracked by redirecting the virtual camera.

Object Recognition Using Genetic Algorithms




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