A successful face recognition system calculates similarity efface images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any statistical properties of that representatio...
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ISBN:
(纸本)0818683449
A successful face recognition system calculates similarity efface images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any statistical properties of that representation [3]. A method has been developed to weight the contribution of each element (1920 kernels) in the representation according to their power of predicting similarity effaces. The same statistical method has also been used to assess how changes in orientation (horizontal and vertical), expression, illumination and background contribute to the overall variance in the kernel activations. Weighting the elements irt the representation according to their discriminative power has shown to increase recognition performance on a Caucasian and on a Japanese test image-set. It has also been demonstrated that such weighting method is particularly useful when data compression is a key requirement.
This paper proposes a scale invariant face detection method which combines higher-order local autocorrelation (HLAC) features extracted from a log-polar transformed image with Linear Discriminant analysis for "fa...
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ISBN:
(纸本)0818683449
This paper proposes a scale invariant face detection method which combines higher-order local autocorrelation (HLAC) features extracted from a log-polar transformed image with Linear Discriminant analysis for "face" and "not face" classification. Since HLAC features of log-polar image are sensitive to shifts of a facet we utilize this property and develop a face detection method. HLAC features extracted from a log-polar image become scale and rotation in variant because scalings and rotations of a face are expressed as shifts in a log-polar image (coordinate). By combining these features with the Linear Discriminant analysis which is extended to treat "face" and "not face" classes, a scale invariant face detection system can be realized.
We use a two-image approach to construct a 3-D human facial model for multi-media applications. The images used are those effaces at direct frontal and side views. The selection of the side view from a sequence of fac...
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ISBN:
(纸本)0818683449
We use a two-image approach to construct a 3-D human facial model for multi-media applications. The images used are those effaces at direct frontal and side views. The selection of the side view from a sequence of facial images is automatically done by applying a spatiotemporal approach to face profile analysis. The extracted side profile is then segmented based on knowledge of known local facial structures. Temporal consistency in the structure of the face under small deviations from the profile image is exploited to improve robustness of the segmentation in the presence of noise and image artifacts. Once the face profile is properly segmented, nine perceptually significant landmarks (fiducial points) an the face are registered based on a local maximum curvature computation. The methods developed are invariant to geometric transformation and are more robust than earlier approaches which rely only on the spatial structure of the face.
In this paper, we have proposed a physics-based facial model based on anatomical data and knowledge, which has a three dimensional structure for facial imageanalysis and synthesis. The skin and the skull models are c...
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ISBN:
(纸本)0818683449
In this paper, we have proposed a physics-based facial model based on anatomical data and knowledge, which has a three dimensional structure for facial imageanalysis and synthesis. The skin and the skull models are constructed from 3D-CT scanned data, and the facial muscles were placed between them just like as a real human face. In regards to the skin and muscle models, spring frames are used to simulate the elastic dynamics or a real facial skin and muscles. Facial Modification can be flexibly realized by two factors: the expansion and contraction of non-linear springs which simulate a skin and muscles, and the motion of the jaw part of the skull. Using our system, we can represent realistic facial animation and predict facial modifications under given conditions for muscles and the skull. Furthermore, our method is effective for analyzing relationship between modification on the facial surface and the motion of muscles and the skull.
Surface curvatures such as Gaussian, mean and principal curvatures are intrinsic surface properties and have played important roles in curved surface analysis. In this paper, we present a correlation-based face recogn...
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ISBN:
(纸本)0818683449
Surface curvatures such as Gaussian, mean and principal curvatures are intrinsic surface properties and have played important roles in curved surface analysis. In this paper, we present a correlation-based face recognition approach based on the analysis of maximum and minimum principal curvatures and their directions. We treat face recognition problem as a 3D shape recognition problem of free-form curved surfaces. Our approach is based on a 3D vector sets correlation method which does not require either face feature extraction or surface segmentation. Each face in both input images and the model database, is represented as an Extended Gaussian image(EGI), constructed by mapping principal curvatures and their directions at each surface points, onto two unit spheres, each of which represents ridge and valley lines respectively. Individual face is then recognized by evaluating the similarities among others by using Fisher's spherical correlation on EGI's effaces. The method is tested for its simplicity and robustness and successively implemented for each of face range images from NRCC(National Research Council Canada) SD image data files. Results shows that shape information from surface curvatures provides vital cues in distinguishing and identifying such fine surface structure as human faces.
It is essential for machine lip reading to process not only static images but also moving images. This paper proposes a method, which is named 'Optical-Snakes', for lip motion extraction from moving images usi...
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ISBN:
(纸本)0818683449
It is essential for machine lip reading to process not only static images but also moving images. This paper proposes a method, which is named 'Optical-Snakes', for lip motion extraction from moving images using the cooperation between the active contour models called Snakes and the optical flow. The effectiveness of the method is demonstrated by the exact extraction of a series of lip contours from time-varying images without any markers, and by the analysis of lip contours for machine lip reading. Some real products which characterize a speaker's pronunciation are made from the lip motion data by a photoforming system. It is demonstrated that the real products are better than the virtual products on a computer display for the evaluation of shapes. The application of lip motion to molding would lead to a new method for the analysis of lip motion and the training of pronunciation.
We aim at capturing 3-D human motion from stereo images in real time without any attached markers. Our strategy comprises two tasks: identification of body parts and motion assignment to them We used a pair of artific...
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ISBN:
(纸本)0818683449
We aim at capturing 3-D human motion from stereo images in real time without any attached markers. Our strategy comprises two tasks: identification of body parts and motion assignment to them We used a pair of artificial retina chips for implementing stereo vision. In this paper, we introduced three algorithms. The first algorithm is the 3-D motion extraction based on optical flow analysis, and we showed its performance with 3-D CG. The second algorithm is to localize an image region including a human head by frame subtraction. The final algorithm is to extract the head rotation in depth. We successfully dicriminated four kinds of head rotations. To show the performance, we built a demo system and realized that each rotation could be reflected on a head CG model.
Though many passive sensing methods have been presented for the analysis of 3D facial motion, generally those methods are useful only when the motion of a single face is analyzed. This paper presents an efficient meth...
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In this paper we introduce wavelet-domain principal component analysis and show that it overcomes some of the limitations of space-domain principal component analysis without introducing computationally expensive proc...
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ISBN:
(纸本)0818683449
In this paper we introduce wavelet-domain principal component analysis and show that it overcomes some of the limitations of space-domain principal component analysis without introducing computationally expensive processing steps. We argue that distance measurement in the wavelet domain is psychovisually more appropriate for judging facial similarity than distance measurement in the space-domain, and build binary facial similarity trees using principal component analysis in the wavelet domain. Compared to caricaturing of space-domain similarity trees, caricaturing these trees in the wavelet-domain results in better feature alignment and thus sharper and more credible images. Nonlinear preprocessing makes the approach robust with regard to both global illumination changes and local illumination fluctuations that vary slowly in the spatial domain.
The proceedings contain 95 papers. The special focus in this conference is on Biometry and Physics-Based Vision. The topics include: Research issues in biometrics;automatic on-line signature verification;integrating f...
ISBN:
(纸本)3540639306
The proceedings contain 95 papers. The special focus in this conference is on Biometry and Physics-Based Vision. The topics include: Research issues in biometrics;automatic on-line signature verification;integrating faces and fingerprints for personal identification;automated fingerprint pattern classification error analysis;a high-dimensional indexing scheme for scalable fingerprint-based identification;sign of surface curvature from shading images using neural network;on the classification of singular points for the global shape from shading problem;determination of sign of gaussian curvature of surface having general reflectance property;estimating depth through the fusion of photometric stereo images;using shadows to reconstruct 3D surfaces;estimation of reflection parameters from a color image;a natural norm for color processing;a color normalization algorithm for image indexing;adaptive color-image embeddings for database navigation;a large capacity steganography using color BMP images;dynamic calibration of an active vision system to compute the ground plane transformation;identification of 3D reference structures for video-based localization;directing robots with visual primitives for navigation and micro-manipulation;combining camera and laser radar for ALV navigation;stereo vision-based obstacle detection for partially sighted people;evaluation and application of recognition confidence in OCR;a new nonlinear shape normalization method for off-line handwritten chinese character recognition;a novel triangulation procedure for thinning cursive text;digital geometric methods in imageanalysis and compression;detection and enhancement of small masses via precision multiscale analysis and a method of industrial parts surface inspection based on an optics model.
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