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Eigenfaces for Recognition
A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Face recognition using eigenfaces
An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by…
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
- Steffen Gauglitz, Tobias Höllerer, M. Turk
- Computer ScienceInternational Journal of Computer Vision
- 1 September 2011
This work presents a carefully designed dataset of video sequences of planar textures with ground truth, which includes various geometric changes, lighting conditions, and levels of motion blur, and presents a comprehensive quantitative evaluation of detector-descriptor-based visual camera tracking based on this testbed.
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
This paper introduces "Flocks of Features," a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foreground color distribution to…
FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES
A novel subspace method called Fisher non-negative matrix factorization (FNMF) for face recognition is proposed, which results in the novel FNMF algorithm and is shown to achieve better performance than LNMF.
Robust hand detection
This paper presents a frequency analysis-based method for instantaneous estimation of class separability, without the need for any training, and builds detectors for the most promising candidates, their receiver operating characteristics confirming the estimates.
Multimodal interaction: A review
- M. Turk
- PsychologyPattern Recognition Letters
- 15 January 2014
Effective representation using ICA for face recognition robust to local distortion and partial occlusion
- Jongsun Kim, Jongmoo Choi, Juneho Yi, M. Turk
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 December 2005
This work proposes an effective part-based local representation method named locally salient ICA (LS-ICA) method for face recognition that is robust to local distortion and partial occlusion and compares it with other part- based representations such as LNMF (localized nonnegative matrix factorization) and LFA (local feature analysis).
World-stabilized annotations and virtual scene navigation for remote collaboration
- Steffen Gauglitz, B. Nuernberger, M. Turk, Tobias Höllerer
- Computer ScienceACM Symposium on User Interface Software and…
- 5 October 2014
A system that supports an augmented shared visual space for live mobile remote collaboration on physical tasks and creates a synergy between video conferencing and remote scene exploration under a unique coherent interface is presented.