The structured light vision system is a successfully used for the measurement of 3D surface in vision. There is some limitation in the above scheme, that is tens of picture are captured to recover a 3D sense. This paper presents an idea for real-time Acquisition of 3-D surface data by a specially coded vision system. To achieve 3-D measurement for a dynamic scene, the data acquisition must be performed with only a single image. A principle of uniquely color-encoded pattern projection is proposed to design a color matrix for improving the reconstruction efficiency. The matrix is produced by a special code sequence and a number of state transitions. A color projector is controlled by a computer to generate the desired color patterns in the scene. The unique indexing of the light codes is crucial here for color projection since it is essential that each light grid be uniquely identified by incorporating local neighborhoods so that 3-D reconstruction can be performed with only local analysis of a single image. A scheme is presented to describe such a vision processing method for fast 3-D data acquisition. Practical experimental performance is provided to analyze the efficiency of the proposed methods. Vision Based Processing For Real-Time 3-D Data Acquisition Based On Coded Structured Light
In case of the existing system we need to take a lot of image to make a 3D Sean. And also took a lot of time to create the 3D Sean. And also we cannot estimate the time in which the Sean can be created. In order to obtain a better resolution, a technique based on the combination of gray code and phase shifting is often used. The main drawback of this is that we need a lot of image to achieve that. And so look forward to advanced system. Through which we can make the process quicker.
In case of the proposed system we over come the problem in the existing system. And also we propose a structured pattern in order to manage the image from a computer.
We are getting the image in a matrix, converting to grayscale. Using encoded pattern project, we getting the combination of image from the matrix and adding new pixel colors according to the encoded one, with out using any similar images.