Multi-sensor Self-Quantification of Presentations
(2015)
Conference Proceeding
Gan, T., Wong, Y., Mandal, B., Chandrasekhar, V., & Kankanhalli, M. S. (2015). Multi-sensor Self-Quantification of Presentations. . https://doi.org/10.1145/2733373.2806252
Dr Bappaditya Mandal's Outputs (9)
Whole space subclass discriminant analysis for face recognition (2015)
Conference Proceeding
Mandal, B., Li, L., Chandrasekhar, V., & Lim, J. H. (2015). Whole space subclass discriminant analysis for face recognition. . https://doi.org/10.1109/icip.2015.7350814In this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Whole space subclass discriminant analysis for face recognition.
Improved Eigenfeature Regularization for Face Identification (2015)
Presentation / Conference
Mandal, B. (2015, September). Improved Eigenfeature Regularization for Face Identification. Paper presented at ICIP 2015 - IEEE International Conference on Image ProcessingIn this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Improved Eigenfeature Regularization for Face Identification.
Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones (2015)
Presentation / Conference
Chia, S., Mandal, B., Xu, Q., Li, L., & Lim, J. (2015, August). Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Poster presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Copenhagen, DenmarkWearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge... Read More about Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones.
Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition (2015)
Presentation / Conference
Lim, R., Ragab Sayed, M., Mandal, B., Teck Ma, K., Li, L., & Hwee Lim, J. (2015, July). Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition. Paper presented at 11th Asia-Pacific Conference on Vision (APCV), SingaporeThe aim of this study is to investigate and derive plausible consistent eye gaze scan path, and set of facial features learnt from unfamiliar faces in unconstrained dynamic motion (rigid and non-rigid motion) for subsequent recognition tasks using ps... Read More about Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition.
Organizing and retrieving episodic memories from first person view (2015)
Conference Proceeding
del Molino, A. G., Mandal, B., Li, L., & Hwee, L. J. (2015). Organizing and retrieving episodic memories from first person view. . https://doi.org/10.1109/icmew.2015.7169776
Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification (2015)
Conference Proceeding
Mandal, B., Zhikai, W., Li, L., & Kassim, A. A. (2015). Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification. In Computer Vision - ACCV 2014 Workshops (585-599). https://doi.org/10.1007/978-3-319-16628-5_42Face identification (FI) has made significant amount of progress in the last three decades. Its application is now moving towards wearable devices (like Google Glass and mobile devices) leading to the problem of FI on first-person-views (FPV) or ego-... Read More about Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification.
Exploring Users Attitudes towards Social Interaction Assistance on Google Glass (2015)
Conference Proceeding
Xu, Q., Mukawa, M., Li, L., Hwee Lim, J., Tan, C., Ching Chia, S., …Mandal, B. (2015). Exploring Users Attitudes towards Social Interaction Assistance on Google Glass. . https://doi.org/10.1145/2735711.2735831Wearable vision brings about new opportunities for augmenting humans in social interactions. However, along with it comes privacy concerns and possible information overload. We explore users' needs and attitudes toward augmented interaction in face-t... Read More about Exploring Users Attitudes towards Social Interaction Assistance on Google Glass.
A Wearable Face Recognition System on Google Glass for Assisting Social Interactions (2015)
Conference Proceeding
Mandal, B., Chia, S., Li, L., Chandrasekhar, V., Tan, C., & Lim, J. (2015). A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. In Image Processing, Computer Vision, Pattern Recognition, and Graphics (419-433). https://doi.org/10.1007/978-3-319-16634-6_31In this paper, we present a wearable face recognition (FR) system on Google Glass (GG) to assist users in social interactions. FR is the first step towards face-to-face social interactions. We propose a wearable system on GG, which acts as a social i... Read More about A Wearable Face Recognition System on Google Glass for Assisting Social Interactions.