Generating a Mapping Function from one Expression to another using a Statistical Model of Facial Shape
نویسندگان
چکیده
We demonstrate a novel method of generating a mapping function from the shape of a neutral face to the shape of one showing an expression. It is proposed that this mapping function can be used to automatically generate facial expressions from still images of never seen before faces or classify which expression a person is portraying. This new technique draws on the work of Ekmans [8] Facial Action Coding System (FACS), Cootes [4,5] Active Shape Model (ASM) and Artificial Neural Networks (ANN). To build an ASM it is required to have a training phase, where each image in the training phase is ‘scored’ by the FACS system and a neural network is used to generate a mapping function as a face moves from a neutral expression to an alternative expression. We describe this method in detail and give results indicate the effectiveness of the technique.
منابع مشابه
Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture
We demonstrate a novel method of generating a mapping function which takes an image of a neutral face to an image of the same subject depicting an alternative expression. It is proposed that this mapping function can be used to automatically generate facial expressions from still images of never seen before faces. This technique draws on the work of Ekman’s [8] Facial Action Coding System (FACS...
متن کاملFacial expression synthesis using a statistical model of appearance
This paper details a procedure for generating a mapping function which maps an image of a neutral face to one depicting a smile. This is achieved by the computation of the Facial Expression Shape Model (FESM) and the Facial Expression Texture Model (FETM). These are statistical models of facial expression based on anatomical analysis of facial expression called the Facial Action Coding System (...
متن کاملA computational model of facial expression
This report details a procedure for generating a computational model of facial expressions. This is a growing and relatively new type of problem within computer vision. One of the fundamental problems when trying to develop a computational model of facial expression in previous approaches is the lack of a consistent method of measuring expression. This report solves this problem by the computat...
متن کاملA framework for automatic and perceptually valid facial animation generation
Facial expressions are facial movements reflecting the internal emotional states of a character or in response to social communications. Realistic facial animation should consider at least two factors: believable facial expression visual effect and valid facial movements. However, most research tends to separate these two issues. In this paper, we present a framework for generating facial anima...
متن کاملLocal gradient pattern - A novel feature representation for facial expression recognition
Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...
متن کامل