With the use of Internet more and more information can be searched from the web. Lots of 3D data is generated by satellite and in medical field due to advanced 3D camera capturing techniques. In last few decades 3D image analysis became essential in the field of Computer-Aided Design (CAD), medical imaging and entertainment.3D models leads to the urgent requirement of effective and efficient 3D model analysis in real-time.
This process demands high computation time, storage capacity and network bandwidth. The process of extracting features from large 3D/4D images and analyzing them with different machine learning algorithm is really a challenging task. In this paper, we are proposing use of Hadoop’s Map-Reduce technique for analyzing large scale images. Map-Reduce is used in distributed processing for optimizing different tasks.