Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7741
Title: | Surface Orientation Detection |
Authors: | Singla, Aayush Gupta, Kanav Singh, Kuljeet [Guided by] |
Keywords: | Surface Orientation Orientation Detection |
Issue Date: | 2019 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
Abstract: | This venture was an endeavour at building up an identification and following its direction utilizing current PC vision innovation. The task conveys an executed direction following framework. It comprises of a half breed of optical and present day infrared innovation and is material to territories, for example, unsupervised observation or semi-self-ruling control. It is steady and is relevant as an independent framework or one that could without much of a stretch be inserted into a significantly bigger framework. The undertaking was actualized in 2 months, and included examination into the territory of PC vision and AI. It likewise included the incorporation of bleeding edge innovation of both the equipment and programming kind. The consequences of the task are communicated in this report, and sum to the use of PC vision systems in following vivify protests in both a 2 dimensional and 3 dimensional scene. |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7741 |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Surface Orientation Detection.pdf | 1.22 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.