We have developed a new type of 3D measurement system which enabled us to obtain successive 3D range data at video rate with an error within ? 0.... 3% [1][2][3]. In this paper, we try to reconstruct realistic colored 3D surface model and 3D animation of the moving target from range images obtained by our 3D measurement system. At first, we used ordinal CG techniques such as smoothing, shading, mapping and so on, but the result is not sufficiently realistic [4]. Therefore, in this paper, we try to synthesize video images with range images obtained by our system. To this aim, a video camera is fixed on our 3D measurement system and takes video images synchronizing with 3D measurement by it. Then, the measured 3D points are mapped onto the respective video images by means of the coordinate system transformation from coordinate system of 3D measurement system to that of video camera and perspective transformation. Thus, color, brightness and so on of the corresponding pixel are attributed to the mapped measured 3D point. Finally, the realistic colored 3D image and animation are reconstructed through the texture mapping technique.