This paper provides an overview of the area of automated dominance estimation in group meetings. We describe research in social psychology and use this to explain the motivations ...
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
Minh Hoai Nguyen, Joan Perez, Fernando De la Torre
Unobtrusive and multiple-sensor interfaces enable observation of natural human behavior in smart environments. Being able to detect, analyze and interpret this activity allows for...
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a stron...
J. Ross Beveridge, Geof H. Givens, P. Jonathon Phi...
Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task poi...
Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, Micha...
We present a real-time user-independent computer vision system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions at 30 fp...
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...