Smartphones as 3D Imagers: A Novel Hardware Configuration with Structure from Motion Techniques / (Record no. 607319)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01851nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | SAEED, KAINAT |
| 245 ## - TITLE STATEMENT | |
| Title | Smartphones as 3D Imagers: A Novel Hardware Configuration with Structure from Motion Techniques / |
| Statement of responsibility, etc. | KAINAT SAEED |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 64p. ; |
| Other physical details | Soft Copy |
| Dimensions | 30cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Embedded cameras in smartphones possess a huge potential to solve many critical<br/>problems in a diverse field of computer vision. Some examples are robot<br/>navigation, identity verification, construction innovation, asset management and<br/>digital twins, manufacturing and factory automation, logistics and supply chains,<br/>and environmental conservation. The possibility to do 3D imaging with<br/>smartphone cameras is an exciting domain whose importance is recognized by<br/>many, including tech giants such as Apple (e.g., the Measure app), Lenovo, and<br/>Samsung. Key smartphone-based 3D imaging innovations are taking place for<br/>indoor mapping (for construction progress monitoring, facility management, and<br/>interior design), disabled people assistance, and robot navigation based on artificial<br/>intelligence techniques. The fundamental purpose of my work is to develop a smart<br/>solution to map the 3D indoor environment to solve the scale problem. To measure<br/>the depth of the object, I attached a laser to the smartphone and used SFM for 3D<br/>image processing. The algorithm provides the dense point cloud and by analyzing<br/>the close points, the reconstruction of the environment in 3D view is shown in the<br/>results. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Robotics and Intelligent Machine Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Muhammad jawad khan |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/34966">http://10.250.8.41:8080/xmlui/handle/123456789/34966</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 12/12/2023 | 629.8 | SMME-TH-881 | Thesis |