Pose-Based Seamless Video Stitching for Real World Applications / (Record no. 607467)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02615nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hassan, Salman |
| 245 ## - TITLE STATEMENT | |
| Title | Pose-Based Seamless Video Stitching for Real World Applications / |
| Statement of responsibility, etc. | Salman Hassan |
| 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 | 70p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Combining videos of humans performing different gestures in a smooth way can potentially<br/>have many uses across a wide range of fields. These include entertainment, virtual reality,<br/>robotics, education, & communication. The goal of this research work is set in this context.<br/>This research focuses on developing a system that takes individual videos of humans<br/>performing motion gestures, and stitches them in a way that minimizes spatial discontinuities<br/>between upper torso joints, thus joining two or more human gestures into one seamless<br/>continuous motion. It begins by investigating & comparing current frameworks used to stitch<br/>individual human motion gestures and investigates the theoretical and mathematical<br/>approaches behind them, proceeding in a step-by-step way. First, it collects sign videos for<br/>most commonly used English sentences of lengths 2-8. Then, it preprocesses these videos to<br/>convert them into a standardized form. Following that, it extracts landmarks to prune<br/>unnecessary parts of videos. It then calculates human joint coordinates using pose estimation.<br/>After that it calculates link vectors and human shoulder, and elbow angles using linear<br/>algebra. Following that, the system interpolates joint coordinates at transitions between signs<br/>and uses them to calculate interpolated joint angles. Concurrently, actual joint coordinates are<br/>used to calculate actual joint angles, which are then used to calculate wrist poses using<br/>forward kinematics. These wrist poses are compared with the same obtained from feeding<br/>interpolated joint angles to forward kinematic models. An ablation study was then conducted<br/>that measured mean errors across different combinations of spline degree, percentage of<br/>knots, & length of sentences. LSQ Univariate Spline with degree 4, knots percentage of 90%,<br/>and sentence length of 4 produced least mean error. Transition errors (errors between sign<br/>transitions were also calculated & recorded for each of 100 sentences. In this way,<br/>smoothness of different interpolating functions was quantified |
| 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. Karam Dad Kallu |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/32416">http://10.250.8.41:8080/xmlui/handle/123456789/32416</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 | 01/22/2024 | 629.8 | SMME-TH-829 | Thesis |