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Computer Vision Research Laboratory



Welcome to the Computer Vision Research Laboratory at UCSB. The name is there for historical reasons; however, our research agenda and project scope have broadened to include a diverse set of interesting and challenging topics. Today, students, visitors, and faculty are engaged in advanced research related to computer vision, medical image analysis, computer graphics, and bioinformatics. This page is constantly under construction and contains descriptions of some sample projects in the Computer Vision Laboratory. If you desire further information, please contact Professor Yuan-Fang Wang directly.

You might be interested in visiting the website of Visualsize Inc., a company founded by Professor Wang on commercializing 3D computer vision technologies.





Building 3D Models from Images


Spatially-aware Image Navigation and Browsing


Fully-Automated Image Stitching

Mosaic UAV flight video into Terrain Maps (10M)

360^o Panorama Examples

General Panorama Examples

If you would like to use your own images with our image stitching, spatially-aware image browsing, and 3D modeling building programs, please go here (You will be taken to a different Website and will be leaving the UCSB domain)

Video Surveillance

Detecting piggy-backing security breaches by face counting, Sample 1 (1.2M), Sample 2 (1.5M)


Creating passenger departure records at the airport metal detector (11M)


Multi-camera cooperative tracking, sensor data fusion, and activity recognition (63M)



Tracking vehicles on the ground from UAV flight video (13M)


Outdoor tracking (36M)


Indoor tracking (7M)

Image Rectification

Rectification in UAV flight video (8M)


Rectification in video-endoscopy (13M)


Rectification in video-endoscopy, Unrectified (4M) Rectified (2M)


Deformable Object Modeling

A spherical organ under a poking disturbance. (584k)


The same spherical organ under a rubbing disturbance. (560k)


The same sphere organ under a combined rubbing and poking disturbance. (631k)


Extremely large disturbance. (2.5M)



If you desire further information, please contact Professor Yuan-Fang Wang directly.