Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Face Analysis"”.
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Profile Modeling in Hierarchical Deep Architecture by Mutual Support
<p>Despite significant advances in the field of face analysis over last decade, the current studies are still limited to specific face computation tasks using deep learning approaches. In this paper, we propose an end-to-end hierarchical deep learning structure, called Multi-Features Convolutional …
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Personalized machine learning for facial expression analysis
… convolutional networks for facial expression analysis. While prior work focused on population-based ("one-size-fits-all") models for prediction of affective states (valence/arousal), I constructed personalized versions of these models to improve upon state-of-the-art general models through …
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An Integrated Framework Enhanced With Appearance Model for Facial Motion Modeling, Analysis and Synthesis
Human faces provide important cues of human activities. Thus they are useful for human-human communication, human-computer interaction (HCI) and intelligent video surveillance. Computational models for face analysis and synthesis are useful for both basic research and practical applications. In …
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Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning
… to several real world applications, e.g. face analysis, document representation and content-based image retrieval.
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Primary/Soft Biometrics: Performance Evaluation and Novel Real-Time Classifiers
The relevance of faces in our daily lives is indisputable. We learn to recognize faces as newborns, and faces play a major role in interpersonal communication. The spectrum of computer vision research about face analysis includes, but is not limited to, face detection and facial attribute …
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Towards a Fast and Accurate Face Recognition System from Deep Representations
… deep learning are not directly applicable to the face analysis tasks due to large variations in illumination, resolution, viewpoint, and attributes of faces acquired in unconstrained settings. In this dissertation, we address this issue by developing efficient DCNN architectures and loss functions …
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Automatic facial age estimation
… estimate of a person’s age. In such situations, Face Image based Automatic Age Estimation (FI-AAE) systems which are more reliable and may ideally surpass human ability, are of importance as and represent a critical pre-requisite technology. Unfortunately, in terms of estimation accuracy and thus …
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DEEP MULTI-TASK LEARNING FOR FACE AND HUMAN ANALYSIS
… we use multi-task learning methods to solve face and human analysis tasks. We design multi-task learning models to learn multiple face and human analysis tasks. We demonstrate that deep multi-task learning can be used to perform the face attribute classification task and up to 40 face …
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Color Face Recognition using Quaternionic Gabor Filters
… the development of a technique for automated face recognition, using color images. One of the more powerful techniques for recognition of faces in monochromatic images has been extended to color by the use of hypercomplex numbers called quaternions. Two software implementations have been …
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Ultra-Fast and Multi-Dimensional Face Processing in a New Face Area
<p>Faces contain a plethora of information crucial for social interactions. Facial information could be transmitted either through facial shape or motion. The last two decades have established that a network of face-selective areas in the temporal lobe of macaque monkeys supports the visual …
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Transparency, Cognition and Interactivity: Toward a New Aesthetic for Media Art
… 'mind'. The artistic system uses special face analysis techniques to close the feedback loop and affect the spectator through the analysis of her/his reactions. The installation is built upon a 'passive' modality of interaction in which the spectator contributes to the artwork with subtle, …
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Image-based facial expression recognition
… with facial expression recognition from various face representations. The key contributions of the work are both empirical and theoretical. In empirical work, we first design and successfully test a framework for near-frontal expression recognition. Then we do a significance analysis of the …
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Towards robust and domain invariant feature representations in Deep Learning
… constraints to solve the unconstrained face analysis problem. While previous approaches in this area have proposed scalable yet ad-hoc solutions to this problem, we propose a principled and parameter free formulation which is based on maximum likelihood estimation. In addition, we employ …