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During tunnel excavation, for construction safer and more reasonable, geology characters and enclosing rock grads around tunnels are needed to be continuously analyzed and managed. Digital image processing course is researched. Firstly, rock edges in face images are extracted, then rock object characteristic information is extracted through analyzing rock objects. Reliability rule is established so...
This paper proposes a 3D eye gaze estimation and tracking algorithm based on facial feature tracking using a single camera. Instead of using the infrared (IR) lights and the corneal reflections (glint), this algorithm estimates the 3D visual axis using the tracked facial feature points. For this, we first introduce an extended 3D eye model which includes both the eyeball and the eye-corners. Based...
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automatic face model editing, etc. In this paper, we propose a geometric feature based pose estimation approach based on 3D facial models. By identifying two clusters of inner eye corners of a 3D facial model, we find the nose tip...
The paper first gives a method for removing the thousands of noisy points by using neighborhood centroid constrained fairing algorithm. And then, uses the 3D point clouds to reconstruct the face surface. At last, we could extract the facial feature.
In this paper we propose a new geometric method for 3D face recognition based on anthropometric measurements. 3D facial feature points are measured by stereovision and are used to construct a 3D signature containing distances, indices and angles between these points, in order to discriminate individuals. This approach is evaluated on the new IV2 database and results are presented an discussed.
We present a method of face recognition using facial texture and surface information. We first use Gabor wavelets extracting local features at different scales and orientations by gray facial images, then combine the texture with the surface feature vectors based on principal component analysis (PCA) to obtain feature vectors from gray and facial surface images. We propose a hybrid Taguchi particle...
3D face recognition is one of the most popular researches at present. However, 3D face model stored in databases can be tampered or overwritten with attacker's own, which results in that legitimate user failed in authentication or lost their identity. In this paper, we provide a security enhancement scheme for biometric system and implement it in 3D face recognition. In our scheme, a digital watermark...
Segmentation and extraction of face features from 2D images has been researched extensively in the past. Recent research shows that algorithms incorporating 3D information often perform better than purely 2D approaches in many areas of computer vision including face biometrics and recognition. Cheaper and readily available 3D data acquisition devices combined with improved 3D reconstruction algorithms...
This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been...
This paper describes a pose invariant three-dimensional (3D) facial expression recognition method using distance vectors retrieved from 3D distributions of facial feature points to classify universal facial expressions. Probabilistic Neural Network architecture is employed as a classifier to recognize the facial expressions from a distance vector obtained from 3D facial feature locations. Facial expressions...
In this paper, we present a novel identity verification system based on Gabor features extracted from range (3D) representations of faces. Multiple landmarks (fiducials) on a face are automatically detected using these Gabor features. Once the landmarks are identified, the Gabor features on all fiducials of a face are concatenated to form a feature vector for that particular face. Linear discriminant...
Face recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition...
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information complexity criterion to identify discriminant feature-clusters of lower dimensionality. We apply this framework on human face anthropometry data of 32 features collected from each of the 300 3D face mesh models. The feature-subsets...
The craniofacial reconstruction is employed as an initialization of the identification in forensics. In this paper we present a tissue map based craniofacial reconstruction technique. The reconstruction is formulated as the superimposition of the selected tissue map onto the novel skull. The key problem is the accurate map registration, which is implemented as a warping guided by 2D feature patterns...
Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The paper therefore proposed a fast appearance-model based 3D face tracking algorithm to track a face appearance with significant translation, rotation, and scaling activities by using stochastic meta-descent (SMD) optimization scheme...
An improved algorithm based on stereo matching technology is proposed to generate 3D face model. By improving and combining the region growing and dynamic programming methods together, a new algorithm of stereo matching is proposed. By processing region growing and dynamic programming methods on two nearly perpendicular directions separately, this new algorithm implements smooth restriction on multi-directions...
This paper presents a method to fit a 3D Morphable Model to a sequence of extracted facial features. The approach is a direct extension of a single view method. The novelty is presented as a new mathematical derivation of the same method but for multiple views where identity and pose are known. The new fitting method exploits point-to-model correspondences and can deal with occlusion since features...
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic land-marking performance in challenging realistic face scenarios subject to pose variations, high-valence facial expressions and occlusions. We explore the potential of several feature modalities, namely, gabor wavelets, independent component...
This paper introduces Evolutionary Putsuit (EP) as a novel approach for 3D facial landmark localization. Leveraging the global optimization ability of genetic algorithm (GA), an innovative framework for detecting local features, like nose tips and eye-corners, on 3D face data is proposed. Facial landmarks are localized by combining responses of several weak classifiers as basic building blocks. A...
We present our graph matching approach for 3D facial feature localisation. The work here uses a basic graph model (three vertices and three arcs) to locate the inner eye corners and the nose tip simultaneously. We intend to extend this to a larger set of the eleven features that exist in our ground truth of the face recognition grand challenge (FRGC) database. We apply the structural matching algorithm...
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