000			01851nam a22001697a 4500
003			NUST
082			_a629.8
100			_aSAEED, KAINAT _9119688
245			_aSmartphones as 3D Imagers: A Novel Hardware Configuration with Structure from Motion Techniques / _cKAINAT SAEED
264			_aIslamabad : _bSMME- NUST; _c2023.
300			_a64p. ; _bSoft Copy _c30cm.
520			_aEmbedded cameras in smartphones possess a huge potential to solve many critical problems in a diverse field of computer vision. Some examples are robot navigation, identity verification, construction innovation, asset management and digital twins, manufacturing and factory automation, logistics and supply chains, and environmental conservation. The possibility to do 3D imaging with smartphone cameras is an exciting domain whose importance is recognized by many, including tech giants such as Apple (e.g., the Measure app), Lenovo, and Samsung. Key smartphone-based 3D imaging innovations are taking place for indoor mapping (for construction progress monitoring, facility management, and interior design), disabled people assistance, and robot navigation based on artificial intelligence techniques. The fundamental purpose of my work is to develop a smart solution to map the 3D indoor environment to solve the scale problem. To measure the depth of the object, I attached a laser to the smartphone and used SFM for 3D image processing. The algorithm provides the dense point cloud and by analyzing the close points, the reconstruction of the environment in 3D view is shown in the results.
650			_aMS Robotics and Intelligent Machine Engineering _9119486
700			_aSupervisor : Dr. Muhammad jawad khan _9119689
856			_uhttp://10.250.8.41:8080/xmlui/handle/123456789/34966
942			_2ddc _cTHE
999			_c607319 _d607319