طراحي و پياده سازي يك سيستم فتوگرامتري رقومي برد كوتاه جهت بازسازي اتوماتيك سطح صورت انسان

The Design and Implementation of a Digital Photogrammetric System for Automatic Face Reconstruction

Measurement and modeling of the surface of the human face have found extensive applications in the surgical operations and computer animations in recent years. Varieties of approaches including laser scanning, coded lights, stereo imaging, etc. are available. This paper deals with the reconstruction of the human face using stereo images employing an amateur camera utilized in a digital close range photogrammetric approach. To model the calibration parameters of the camera, a 3D control network was constructed and a rigorous 3D network adjustment was performed. The accuracy of the points in the adjusted network is estimated to be about 0.7 mm. These points are utilized in a self calibration collinearity model yielding the camera calibration parameters. In the next stage, based on a simple camera placement rule, the optimum positions of the camera stations are determined and seven convergent Measurement and modeling of the surface of the human face have found extensive applications in the surgical operations and computer animations in recent years. Varieties of approaches including laser scanning, coded lights, stereo imaging, etc. are available. This paper deals with the reconstruction of the human face using stereo images employing an amateur camera utilized in a digital close range photogrammetric approach. To model the calibration parameters of the camera, a 3D control network was constructed and a rigorous 3D network adjustment was performed. The accuracy of the points in the adjusted network is estimated to be about 0.7 mm. These points are utilized in a self calibration collinearity model yielding the camera calibration parameters. In the next stage, based on a simple camera placement rule, the optimum positions of the camera stations are determined and seven convergent