Reconstruction of Simple and Complex Three Dimensional Images Using Pattern Recognition Algorithm

The reconstruction of ۳D images is always a difficult task for the researchers. The ۳D reconstruction of the image is a core technique of various fields such as Computer graphics, computer vision, CAD systems, medical science, computer application, etc. Reconstruction of the ۳D image allows us to gather the quantitative features of the objects such as the shape, size, and volume of the objects. The existing computer algorithms need spatial dimension information to make the distinguished inference from the given ۳D image which is not always possible. This paper simplifies the ۳D reconstruction of the image. This research paper introduced a novel algorithm for the representation of the Three Dimensional images into a textual form.  The syntactic approach is used for the extraction of the features of the image and these are called knowledge vectors. The knowledge vector consists of the direction information and length information. This a new approach in the field of image processing where images can be represented as a knowledge vector and it could be a great contribution in the field where security is a major concern. Further, the knowledge vector is used for the reconstruction of the ۳D image. The performance of the algorithm is evaluated on the PASCAL ۳D + and example-based Synthesis of the ۳D Object Arrangements dataset. According to the obtained results, the proposed methodology is having better accuracy, and the processing time of reconstruction of the original ۳D image is ۱.۰۲ Seconds. Single-pass is sufficient for reconstructing the original image

کلیدواژه ها:

Syntactic approach ، construction ، Reconstruction ، ۳D images