We present an image-based technique to efficiently acquire spatially varying subsurface reflectance properties of a human face. The estimated properties can be used directly to render faces with spatially varying scattering, or can be used to estimate a robust average across the face. We demonstrate our technique with renderings of peoples’ faces under novel, spatially-varying illumination and ...

A new approach is presented to improve the face recognition accuracy. This approach is based on the contrast enhancement using high-frequency emphasize filtering and histogram equalization. In the presented method, image contrast and the global (or local) visualization are enhanced using digital filtering and equalizing the histogram of the pixel values over entire image. For this, first the fa...

The paper presents a novel feature extraction technique for face recognition which uses sparse projection axes to compute a lowdimensional representation of face images. The proposed technique derives the sparse axes by first recasting the problem of face recognition as a regression problem and then solving the new (under-determined) regression problem by computing the solution with minimum L1 ...

We propose a non-local cost aggregation algorithm to recognize the identity of face and person tracks in a TV-series. In our approach, the fundamental element for identification is a track node, which is built on top of face and person tracks. Track nodes with temporal dependency are grouped into a knot. These knots then serve as the basic units in the construction of a k-knot graph for explori...

This paper presents a user interactive system that manages, with minimum user interaction, to locate a set of characteristic feature points in the frontal view of a person’s face. The proposed method is user adaptive and is implemented as a combination of a classification-based facial region extraction technique with a transition based facial feature extraction method. Thus, a feed-forward neur...

The paper investigates whether low skilled male Albanians face unequal treatment in the Greek labour market, two years after the national adoption of the European antidiscrimination employment legislation. By means of a Correspondence Test we have estimated that Albanians face 43.5% net discrimination of access to occupations. Concentrating on the equal chance cases, we subsequently found that ...

The purpose of this study is to enhance the algorithms towards the development of an efficient three dimensional face recognition system in the presence of expressions. The overall aim is to analyse patterns of expressions based on techniques relating to feature distances compare to the benchmarks. To investigate how the use of distances can help the recognition process, a feature set of diagon...

Introduction: The purpose of this study was to evaluate vertical facial and dental changes after orthodontic treatment with extraction of first four premolars, and to find whether long facial height could influence the treatment result. Methods: Fifty-six orthodontic patients with the minimum age of 15, whose treatment plan involved extracting four first premolars, participated in the study. Th...

In this paper, a unified framework for classifying facial attributes is presented. Facial Attribute-Specific Subspace (FASS) is firstly proposed to represent each specific facial attribute. Then a framework is provided to classify facial images based on FASS and the Minimum Reconstruction Error (MRE) rule. The proposed framework is motivated by, but essentially different from the conventional E...

Snakes are now a very popular technique for shape extraction by minimising a suitably formulated energy functional. A dual snake configuration using dynamic programming has been developed to locate a global energy minimum. This complements recent approaches to global energy minimisation via simulated annealing and genetic algorithms. These differ from a conventional evolutionary snake approach,...