Project Tittle :- :- Vision
Processing for Real-time 3-D Data Acquisition Based on Coded Structured Light
Abstract
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.
Existing System
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 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.
Proposed System
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.
Software
Requirements
•
Operating system :- Windows XP Professional
•
Development Environment :- Microsoft
Visual Studio .Net 2008
• Languages Used :- Visual C# .Net
Hardware
Requirements
•
SYSTEM : Pentium III 700 MHz
•
HARD DISK : 10 GB
•
RAM : 256 MB
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