Specialized courses play a significant role in the usage of basic knowledge in the practical application for engineering college students. The engineering data available has sharply increased since the beginning of the information age in the 20th century, providing much more approaches to study and practice. Therefore, how to guide students to make full use of resources for active engineering practice learning has become one of the key problems for specialized courses. This paper took the digital image processing course for opto-electronic information science and technology major as an example, discussed the teaching model of specialized course in the information age, put forward the "engineering resource oriented model", and fostered the ability of engineering students to use the basic knowledge to innovate and deal with specific project objectives. The fusion of engineering examples into practical training and teaching encourages students to practice independent engineering thinking.
In this paper, on the basis of considering the performance advantages of two-step method, we combines the stereo matching of binocular stereo vision with active laser scanning to calibrate the system. Above all, we select a reference camera coordinate system as the world coordinate system and unity the coordinates of two CCD cameras. And then obtain the new perspective projection matrix (PPM) of each camera after the epipolar rectification. By those, the corresponding epipolar equation of two cameras can be defined. So by utilizing the trigonometric parallax method, we can measure the space point position after distortion correction and achieve stereo matching calibration between two image points. Experiments verify that this method can improve accuracy and system stability is guaranteed. The stereo matching calibration has a simple process with low-cost, and simplifies regular maintenance work. It can acquire 3D coordinates only by planar checkerboard calibration without the need of designing specific standard target or using electronic theodolite. It is found that during the experiment two-step calibration error and lens distortion lead to the stratification of point cloud data. The proposed calibration method which combining active line laser scanning and binocular stereo vision has the both advantages of them. It has more flexible applicability. Theory analysis and experiment shows the method is reasonable.
A laser triangle scanning method and the structure of 3D-face measurement system were introduced. In presented system, a liner laser source was selected as an optical indicated signal in order to scanning a line
one times. The CCD image sensor was used to capture image of the laser line modulated by human face. The system parameters were obtained by system calibrated calculated. The lens parameters of image part of were calibrated with machine visual image method and the triangle structure parameters were calibrated with fine wire paralleled arranged. The CCD image part and line laser indicator were set with a linear motor carry which can achieve the line laser scanning form top of the head to neck. For the nose is ledge part and the eyes are sunk part, one CCD image sensor can not obtain the completed image of laser line. In this system, two CCD
image sensors were set symmetric at two sides of the laser indicator. In fact, this structure includes two laser
triangle measure units. Another novel design is there laser indicators were arranged in order to reduce the scanning time for it is difficult for human to keep static for longer time. The 3D data were calculated after
scanning. And further data processing include 3D coordinate refine, mesh calculate and surface show. Experiments show that this system has simply structure, high scanning speed and accurate. The scanning
range covers the whole head of adult, the typical resolution is 0.5mm.
Digital human modeling and skin deformation is the most challenging and widely used computer animation technology.
In all existing methods the skinning algorithm has many advantages such as fast implement speed and simple operating
process, but it also has the flaws such as local 'collapse' and 'drape' phenomena. An improved skinning method is
presented that can effectively reduce traditional flaws of this method. After the key terminologies are introduced the
improvement for skinning deformation is illustrated in detail. The main measures include that (1) adding extra joints on
JSL to minimize the distance between adjacent joints and thus joint's importance attribute is introduced, (2) using joint
cluster to replace single joint, and (3) creating the corresponding relationship between skin and JSLs based on flexible
model and multi-joints-binding method (MJBM), that is to say binding one skin vertex to several joints using distance
criterion and weight coefficient is the function of distances between the skin vertex to its related joints. All these
improvements can make the skin deformation more smoothing. In order to verify the validity of the method we
implement the algorithm above proposed using Visual C++ 6.0 and OpenGL language, and the digital hand finger
bending and leg kicking deformation are achieved. The experimental results show that the skin deformation is very
natural and meets the habit of human self.
A method for the measurement of low-density microporous polymeric foams with digital microscopic image plane holography is studied. An image plane hologram of microporous foam is recorded in an optical system of a Mach-Zender interferometer by CCD sensor, and the magnified image, which contains the quantitative information of the intensity and the phase of the microporous foam, is reconstructed numerically from the captured single interference pattern by twice
fast Fourier transform and digital filter processing of frequency spectrum. And the morphometry and the pore diameter of
the microporous foam under test can be obtained. A theoretical analysis has been performed and experimental results of
the polymeric foam are also given. The experimental results show that the method presented in this paper is feasible,
easy in data processing.
A method of measuring the key sizes of a human 3D mesh model was presented. In the proposed method, human model
postures were adjusted according to the measuring reference plane, measuring direction and measuring points. Then the
skeleton of the model was extracted through the gradient rapid descent algorithm of the radial base function. What
follows was to locate the joints and set their freedom and active ranges. Then, the surface peaks were bonded to the
joints through flexible models to implement human animation. In this way, the standing and sitting poses were obtained.
After automatic means of body characteristic points location had been studied, the points and plane were extracted to
locate the measuring points precisely. Experiments were carried out on a man respectively and their key sizes were