2D-3D Face Recognition Based on PCA and Feature Modelling

Hybrid face recognition, using image (2D) and structural (3D) information, has explored the fusion of Nearest Neighbour classifiers. This paper examines the effectiveness of feature modelling for each individual modality, 2D and 3D. Furthermore, it is demonstrated that the fusion of feature modelling techniques for the 2D and 3D modalities yields performance improvements over the individual classifiers. By fusing the feature modelling classifiers for each modality with equal weights the average Equal Error Rate improves from 12.60% for the 2D classifier and 12.10% for the 3D classifier to 7.38% for the Hybrid 2D+3D clasiffier.

Perceptions of Integration: What the Literature Says and What Stakeholders See

This paper compares perceptions of integrated marketing communication (IMC) to establish whether consumers perceive integration in the same way as the literature. It begins by reviewing the literature to identify shared assumptions about integration and factors thought to contribute to the integration of marketing communication and, in an experiment, compares these with the perceptions of consumers. Many of the shared assumptions in the literature have been supported by the findings of this study. Integration has been demonstrated to be both a strategy and a tactic. The strategic side is part of a management process and is unable to be observed by consumers from the marketing communication output. Consumers can, however, identify the tactics and are able to recall a number of integration factors such as logo, corporate colours and image. Consumers in the total message integration groups perceived the messages they received as more integrated than those in partial integration or no integration groups.