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Face detection is a challenging research area and crucial step of face detection system. Because of the factors of rotation, pose change, and complicated background, false faces also can be found in detection results. This paper puts forward a new approach based on the landmark localization to detect face image which includes various pose variation. Furthermore, the proposed histogram of sparse code-based...
In this paper, we proposed the computer vision and behavior imaging science and technology into the field of treatment of children with special needs, aiming to use computer algorithms to automatically analyze children's gaze, and further investigate children's behavior patterns and distinguish whether children are with autism characteristics in our CSBS video. We perform a series of image processing...
With growing number of high quality 3D models published online, the technique of generating efficient and economical 3D model previews has raised increasing concerns. Although several previous work has been done on the preview of static mesh, that of animated mesh is different and more complex due to the difficulty in describing the animation. In this paper, we present a novel method of automatic...
In this paper, we developed a KANSEI communication system between human and robot based on emotional synchronization to human emotional state using facial expression recognition. And we conducted experiments to evaluate the effectiveness of the proposed system. The robot recognizes human emotion through their facial expressions, and synchronizes its own emotion with the recognized emotion dynamically...
This paper presents an automatic people counting system based on face detection, where the number of people passing through a gate or door is counted by setting a video camera. The basic idea is to first use the frame difference to detect the rough edges of moving people and then use the chromatic feature to locate the people face. Based on NCC (Normalized Color Coordinates) color space, the initial...
When there is no sufficient labeled instances, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled instances are used to improve the performance. In this paper, we propose a dimensionality reduction method called semi-supervised TransductIve Discriminant Analysis (TIDA) which preserves the global and geometrical structure of the unlabeled...
In order to predict the dynamic surface subsidence and deformation, a working face was divided into some mining elements along strike according to the face advancing, and the dynamic surface subsidence and deformation was regard as the superposition of the dynamic subsidence and deformation independently of all these mining elements. There might be a section of which width was shorter than a mining...
Recent development in the field of face detection highlights the benefits from large scale training samples, which can be cheaply collected through Internet. However, these large training sets are usually constructed in a rather arbitrary manner. In this paper, we empirically investigate the fundamental question of how the training set effects the performance of a given state of the art face detector...
Among others, spoofing with photos is one of the most common manner to intrude a face recognition system. In this paper, we presents a novel method to deal with this problem, based on the observation that the difference between a photo and a real face usually leads to different distribution behavior in the frequency domain. In particular, we propose to first use a DoG (difference of Gaussian) filter...
Beauty is an abstract concept. How to quantify and evaluate beauty has always been a major concern among people. But few people adopt the way based on image processing and pattern recognition to assess beauty. For the first time, this paper proposed a way using computer image processing and pattern recognition for beauty assessment, and proposed a method based on the beauty- related feature points...
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