L. Farkas. Anthropometry of the Head and Face. Raven Press, 1994.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....motivated by the non rigid motion of face, the physics of facial muscles and the skin. We use the face model described in [2] which is composed of 850 polygons and 18 synthetic muscles. First we conform the generic face model onto the face using deformations based on anthropometrical statistics [3][4] Then we recover the motion parameters in two steps: 1) we use a multiresolution (pyramid) scheme to recover global 3D rotation and translations; 2) we estimate the contraction of muscles, which are constrained by the optical flow equation, by using the Levenberg Marquardt method for three ....

L. Farkas. Anthropometry of the Head and Face, Raven Press, 1994.

....the image can be used with anthropometric head and face measurements to estimate the face region from which we can track robust image features. Facial Dimensions (mm) eu eu v en v sn pupil se Mean 151.1 121.3 164.3 33.5 SD 5.7 6.8 7.7 2. 0 N 109 109 109 40 Table 1: Head and face anthropometry [11] for N males between the ages of 19 25. Female measurements are slightly smaller on average. An illustration of the listed dimensions is shown in Fig. 3. v en v sn eu eu pupil se (x 0 y 0 ) Figure 3: Illustration of anthropometric relations used to determine the upper face region from the ....

....or no) during the gesturing of the head, we exclude the lower portion of the face and focus only on the upper region from the top of the head to the bottom of the nose. The relevant measurements to locate the upper face region from the pupil distance can be determined using the data provided in [11]. Actual data measurements for this process are presented in Table 1, and are illustrated in Fig. 3. Letting pd be the calculated pixel distance between the detected right and left pupils pr and pl, we use ratios of the mean values in Table 1 to compute the expected size (width, height) and anchor ....

L. Farkas, editor. Anthropometry of the Head and Face. Raven Press, New York, 1994.

....according to an algorithm proposed for images by [7] 3.1 Facial attributes Shape and texture coefficients # i and # i in our morphable face model do not correspond to the facial attributes used in human language. While some facial attributes can easily be related to biophysical measurements [13, 10], such as the width of the mouth, others such as facial femininity or being more or less bony can hardly be described by numbers. In this section, we describe a method for mapping facial attributes, defined by a hand labeled set of example faces, to the parameter space of our morphable model. At ....

L.G. Farkas. Anthropometry of the Head and Face. RavenPress, New York, 1994.

....faces (but can be applied more generally) Face tracking is a particularly natural testbed for our research for two reasons. The actual shape and motion of faces makes edge and optical flow information easy to use and advantageous to combine; and the abundance of data describing human face shape [Far94] facilitates the development of three dimensional models of faces with separable shape and motion parameterizations. Constraints and Modeling The main techniques in this thesis each use some form of constraints on the model to achieve the desired goal. The following is a brief description of ....

....describes face model construction processes, as well as techniques for the use and combination of different sources of model based information for estimation 4 and tracking. For model construction, knowledge of facial geometry comes in the form of measurements from face anthropometry [Far94, KS96] the science dedicated to the measurement of the human face. Anthropometric studies such as [Far87, Far94] provide data on the shape of faces which help characterize the distinctive features of faces from a particular population. This represents the first significant use of data from face ....

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L. Farkas. Anthropometry of the Head and Face. Raven Press, 1994.

....applications in human machine interaction. Face tracking is a particularly natural testbed for our research for two reasons. The actual shape and motion of faces makes edge and optical flow information easy to use and advantageous to combine; and the abundance of data describing human face shape [16] facilitates the development of three dimensional models of faces. We have constructed a model of the human face which captures the relevant aspects concerning their shape, motion and appearance. By using data from face anthropometry studies [16] the range of shapes produced capture the ....

....the abundance of data describing human face shape [16] facilitates the development of three dimensional models of faces. We have constructed a model of the human face which captures the relevant aspects concerning their shape, motion and appearance. By using data from face anthropometry studies [16], the range of shapes produced capture the variabilities seen in the shape and appearance of faces across the human population. The design of the facial motion model employs aspects of the Facial Action Coding System (FACS) 13] which is a manual coding method for describing facial movements in ....

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L. Farkas. Anthropometry of the Head and Face. Raven Press, 1994.

....facial surgery simulation. We illustrate features of our system with examples from the Visible Human Dataset. TM Additional Keywords and Phrases: Facial Modeling, Emotion Editing. 1. Introduction Because of its variability the human face is a very important means of interpersonal communication [6]. Due to the progress in computer animation researchers have developed facial models since the 70 s in order to perform facial animation, for a survey see [16] During the following two decades these models have been refined to handle arbitrary facial meshes, mostly obtained from 3D laser range ....

L. G. Farkas. Anthropometry of the Head and Face. Raven Press, 2nd edition, 1994.

....results are reported. 1 Introduction We present an algorithm for estimating the orientation of a human face from a single monocular image. The algorithm takes advantage of the geometric symmetries of typical faces to compute the yaw and roll components of orientation, and anthropometric modeling [3, 6] to estimate the pitch component. Estimating head orientation is central in vision based animation, gaze estimation and as a component of inferring the intentions of agents from their actions. We seek an approach that requires no prior knowledge of the exact facestructure of the individual being ....

....roll, respectively) denote the three rotation angles of the head about the X,Y,and Z axis, respectively. Our model for head estimation assumes that the four eye corners are co linear in 3D; this assumption can be relaxed to account for a slight horizontal tilt in the eyes of Asian subjects (see [3] for statistics on the deviation of the eye corners from co linearity) Let upper case letters denote coordinates and distances in 3D and lower case letters denote their respective 2D projections. Let E 1 ; E 2 ; E 3 and E 4 denote the four eye corners and e 1 ; e 2 ; e 3 and e 4 denote their ....

L.G. Farkas, "Anthropometry of the Head and Face" 2nd edition, Raven Press, 1994.

....issue for patients with facial deformities. Moreover, cranio maxillofacial surgery has to strive for reconstruction of a balanced face. Even very subtle malformations of facial proportions can strongly affect the appearance of a face and determine on aesthetic aspects such as individual beauty [10]. Therefore, surgeons often face the problem of predicting a fair facial surface before the actual surgery is carried out. Figure 1 illustrates a typical malformation of a female s face and its correction by surgery. Normally, the planning of a maxillofacial surgical procedure is done by means of ....

L. G. Farkas. Anthropometry of the Head and Face. Raven Press, 2nd edition, 1994.

....Graphics and Realism] Animation; G.1.8 [Partial Differential Equations] Finite Element Methods; Additional Keywords and Phrases: Facial Modeling, Emotion Editing. 1 INTRODUCTION Because of its variability the human face is a very important means of interpersonal communication [5]. Due to the progress in computer animation researchers have developed facial models since the 70 s in order to perform facial animation, for a survey see [15] During the following two decades these models have been refined to handle arbitrary facial meshes, mostly obtained from 3D laser range ....

L. G. Farkas. Anthropometry of the Head and Face. Raven Press, 2nd edition, 1994.

....issue for patients with facial deformities. Moreover, cranio maxillofacial surgery has to strive for reconstruction of a balanced face. Even very subtle malformations of facial proportions can strongly affect the appearance of a face and determine on aesthetic aspects such as individual beauty [10]. Therefore, surgeons often face the problem of predicting a fair facial surface before the actual surgery is carried out. Figure 1 illustrates a typical malformation of a female s face and its correction by surgery. Normally, the planning of a maxillofacial surgical procedure is done by means of ....

L. G. Farkas. Anthropometry of the Head and Face. Raven Press, 2nd edition, 1994.

....results are reported. 1 Introduction We present an algorithm for estimating the orientation of a human face from a single monocular image. The algorithm takes advantage of the geometric symmetries of typical faces to compute the yaw and roll components of orientation, and anthropometric modeling [3, 6] to estimate the pitch component. Estimating head orientation is central in vision based animation, gaze estimation and as a component of inferring the intentions of agents from their actions. We seek an approach that requires no prior knowledge of the exact face structure of the individual being ....

....roll, respectively) denote the three rotation angles of the head about the X,Y,and Z axis, respectively. Our model for head estimation assumes that the four eye corners are co linear in 3D; this assumption can be relaxed to account for a slight horizontal tilt in the eyes of Asian subjects (see [3] for statistics on the deviation of the eye corners from co linearity) Let upper case letters denote coordinates and distances in 3D and lower case letters denote their respective 2D projections. Let E 1 ; E 2 ; E 3 and E 4 denote the four eye corners and e 1 ; e 2 ; e 3 and e 4 denote their ....

L.G. Farkas, "Anthropometry of the Head and Face" 2nd edition, Raven Press, 1994.

....procedures. Data source: Courtesy Prof. H. F. Sailer, Dept. of Maxillofacial Surgery, University Hospital Zurich, Switzerland) surgery. Even very subtle malformations of facial proportions can strongly affect the appearance of a face and determine on aesthetic aspects such as individual beauty [4]. In addition, many procedures in maxillofacial surgery lead to a change in the facial morphology of the patient, e.g. cutting of the jaw bones (osteotomies) and bringing them into a desired position. Maxillofacial surgery also consists of the resection of malformed parts of the face or tumors and ....

....boundary conditions on the left. 4.2 Stretching and Bending Parameters Similar to the spring stiffness, the stretching and bending tensors may change their values for different regions of the face. More specifically, facial skin stiffness is a function of age, sex, weight, and other parameters [4]. Higher values lead to higher internal energy of a deformed surface patch, thus giving rigid parts of the face high ff and fi values. Changing the stretching and bending parameters influences the size of the deformed facial region and the displacement of individual surface nodes if a loading ....

FARKAS, L. G. Anthropometry of the Head and Face, second ed. Raven Press, 1994.

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L. Farkas. Anthropometry of the Head and Face. Raven Press, 1994.

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Farkas L., Anthropometry of the Head and Face. Raven Press, 2nd ed. New York 1994.

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Leslie G. Farkas, Anthropometry of the Head and Face, Raven Press, 2nd edition, 1995.

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Farkas, L.G.: Anthropometry of the Head and Face. 2nd edn. Raven Press (1995)

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Farkas, Leslie G., Anthropometry of the Head and Face, 2 Edition, Raven Press, New York, 1994

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L. Farkas, Anthropometry of the Head and Face, Raven Press, 2nd ed., 1994.

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L.G. Farkas. Anthropometry of the Head and Face. Raven Press, 2nd edition, 1994.

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L.G. Farkas, Anthropometry of the Head and Face, 2nd edition, Raven Press, 1994.

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