Main

Home Page

Open Projects in Optical/Motion-Computational


Instructor George Legrady

TA Andres Burbano

M594CP is a student defined research projects course focused on optical, or any other imaging/sensing device interfaced with a computer such as anamorphs, experiments in multiple exposure, spatial & virtual exploration, distance/presence, reflection and penetration (x-ray, infrared, etc.), medical (MRI, PET), and astronomy, cameras that function as sensors, recording, and vision devices.
Workload consists of project proposal with research focus worked out with the instructor, realization, presentation of work-in-progress through the quarter, followed by an online documentation that describes the research and results.

W1 - 3D Camera

Exploration of 3D with the new groundbreaking autostereoscopic Fuji 3D pixel camera. The camera has 2 CCD sensors, and 2 Fujinon precision lenses with 3x optical zoom. This Fuji camera introduces the new multi-picture MPO standard.Technical work can focus on creating software that can translate the MPO standard so that the images can be used in other applications such as the MAT Allosphere system, Nvidia 3D vision , and interfaces to image softwares (Photoshop, After Effects, etc.) Image viewer.

GPR - Ground Penetrating Radar

Ground Penetrating Radar (GPR) is an accurate and non-invasive tool to explore beyond layers of dense matter, like concrete, soil, or sand and has successful applications in archeology. We strongly believe that GPR is an appropriate tool to explore, study and retrieve data from the ruins. Additionally there are reports of GPR samples from the Guadalupe–Nipomo dunes showing its rich –in artifacts- underground. Representing an important aesthetic concept of media arts, the technology of the radar makes visible the invisible. This research is for the New Dunites ? Project.

Fake Light Field Techniques With Stereo Computer Vision Techniques

I will be choosing at least one stereo vision technique to implement in Matlab and Java, in order to create a disparity map of the two images. Using the disparity map, I will look for techniques to blend two stereo images together to create depth of field focal length change effects, similar to those produced using more robust light field capture rigs.

Gestural Recognition for mobile devices

Human Computer Interaction has been limited to the keyboard and mouse paradigm for nearly 40 years. Whilst there are obvious benefits to these interfaces, modern technology allows for new interfaces and interaction styles to be explored. The ubiquitousness of modern smart phones provides opportunities for a new paradigm in interaction thanks to most having accelerometers, touch screens, speakers and microphones built in. Gestural interaction is a completely natural part of every day communication (people even gesticulate when on the phone) and it is this mode of interaction that the keyboard and mouse fail to account for.

Presentation 1 Videos

Ben Alun-Jones http://mat.ucsb.edu/~aburbano/videos/ben.mov

John Delaney http://mat.ucsb.edu/~aburbano/videos/john.mov

Javier Villegas http://mat.ucsb.edu/~aburbano/videos/javier.mov

Andres Burbano http://mat.ucsb.edu/~aburbano/videos/burbano.mov


Resource Links for today's meetings:

3D mapping: http://graphics.usc.edu/~suyay/ | http://www.ipsi.fraunhofer.de/mobile/publications/fullpapers/ACM/index.htm

3D lenticular Processes and Viewing http://www.start3d.com/en/browse | http://triaxes.com/

Artistic explorations: http://www.jimcampbell.tv/portfolio/public_art/