Few concepts are more central to the study of face recognition than holistic processing. Progress toward understanding holistic processing is challenging because the term "holistic" has many meanings, with different researchers addressing different mechanisms and favoring different measures. While in principle the use of different measures should provide converging evidence for a common theoret...

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The neuropeptide Oxytocin influences a number of social behaviors, including processing of faces. We examined whether Oxytocin facilitates the processing of out-group faces and reduce the own-race bias (ORB). The ORB is a robust phenomenon characterized by poor recognition memory of other-race faces compared to the same-race faces. In Experiment 1, participants received intranasal solutions of ...

Face hallucination is a task of generating high-resolution (HR) face images from low-resolution (LR) inputs, which subfield the general image super-resolution. However, most previous methods only consider visual effect, ignoring how to maintain identity face. In this work, we propose novel model, called C-Face network, can generate HR with high quality while preserving information. A recognitio...

From a phenomenological perspective, faces are perceived differently from objects as their perception always involves the possibility of a relational engagement (Bredlau, 2011). This is especially true for familiar faces, i.e., faces of people with a history of real relational engagements. Similarly, valence of emotional expressions assumes a key role, as they define the sense and direction of ...

We consider the problem of dualizing a Boolean function f given by CNF, i.e., computing a CNF for its dual f. While this problem is not solvable in quasi-polynomial total time in general (unless SAT is solvable in quasi-polynomial time), it is so in case the input belongs to special classes, e.g., the class of bidual Horn CNF φ [9] (i.e., both φ and its dual φ represent Horn functions). In this...

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............................................................................. 3 ACKNOWLEDGEMENTS AND DECLARATION............................ 4 CHAPTER 1: General Introduction................................................ 7 1.

A robust and e$cient human face detection system that can detect multiple faces in complex backgrounds is presented in this paper. The proposed system consists of two primary parts. The "rst part is to search for the potential face regions. The second part is to perform face verixcation. Our system can conquer di!erent sizes, di!erent lighting conditions, varying pose and expression, and noise ...