A Simplified Review on REAL TIMEOBJECT DETECTION AND 3D MODELING
نویسندگان
چکیده
In view of some shortcomings about frequently used currently shape recognition algorithms a fast geometry figure recognition algorithm Real time Object Detection and 3D modeling system (OD3DM)based on segmentation method is presented in this paper. We will use segment method over convention method. Segmented method includes analysis of objects in segment i.e. in small parts. The Real time Object Detection and 3D modeling system (OD3DM) focuses to integrate detection of Complex geometric structure and 3D modeling techniques through artificial intelligence and Fuzzy logic. The proposed system OD3DM will be using Artificial Intelligence and fuzzy logic to propose a basic model that can detect and Model the extracted images into 3D. The OD3DM system has been among the widest research areas in the field of computer vision, since over a decade. In this article, we present a brief review on OD3DM system. Although, there are number of systems available for detection and 3D modeling but there is hardly any system available that can detect and model the images of objects into 3D. Here we will be proposing a system that can detect, extract and model the images in 3D. The experimental results on collected image dataset will show that the proposed approach is more accurate and efficient than traditional methods. This paper can be treated as a reference for getting in depth knowledge of the OD3DM system and its future in computer science engineering. Keywords–Object Detection and 3D modeling (OD3DM), Artificial Intelligence (AI), Synthetic aperture radar imagery (SAR), Region of Interest (ROI), Computer aided design (CAD) Prerna Dahiya et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.5, May2014, pg. 788-795 © 2014, IJCSMC All Rights Reserved 789
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تاریخ انتشار 2014