The Aware Home: A Living Laboratory for Ubiquitous Computing Research
CoBuild '99 Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture
Eyeglass-Based Systems For Wearable Computing
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Mobile Face Capture for Virtual Face Videos
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Full-time wearable headphone-type gaze detector
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Head-mounted photometric stereo for performance capture
ACM SIGGRAPH 2010 Emerging Technologies
Automatic generation of head models and facial animations considering personal characteristics
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
Flying eyes: free-space content creation using autonomous aerial vehicles
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Detecting eye contact using wearable eye-tracking glasses
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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We propose an eyeglass-based videophone that enables the wearer to make a video call without holding a phone (that is to say hands-free) in the mobile environment. The glasses have 4 (or 6) fish-eye cameras to widely capture the face of the wearer and the images are fused to yield 1 frontal face image. The face image is also combined with the background image captured by a rear-mounted camera; the result is a self-portrait image without holding any camera device at arm's length. Simulations confirm that 4 fish-eye cameras with 250-degree field of view (or 6 cameras with 180-degree field of view) can cover 83% of the frontal face. We fabricate a 6 camera prototype, and confirm the possibility of generating the self-portrait image. This system suits not only hands-free videophones but also other applications like visual life logging and augmented reality use.