The Memory Glasses: Subliminal vs. Overt Memory Support with Imperfect Information
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Robust Real-Time Face Detection
International Journal of Computer Vision
A wearable face recognition system for individuals with visual impairments
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Exploiting the circulant structure of tracking-by-detection with kernels
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
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Have you ever experienced that you cannot remember the name of a person you meet again? To circumvent such an awkward situation, it would be great if you had had a system that tells you the name of the person in secret. In this paper, we propose a wearable system of real-time face recognition to support human memory. The contributions of our work are summarized as follows: (1) We discuss the design and implementation details of a wearable system capable of augmenting human memory by vision-based realtime face recognition. (2) We propose a 2 step recognition approach from coarse-to-fine grain to boost the execution time towards the social acceptable limit of 900 [ms]. (3) In experiments, we evaluate the computational time and recognition rate. As results, the proposed system could recognize a face in 238 ms with the the cumulative recognition rate at the 10th rank was 93.3 %. Computational time with the coarse-to-fine search was 668 ms less than that without coarse-to-fine search and the results showed that the proposed system has enough ability to recognize faces in real time.