Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
The world of interaction is ever expanding and novel approaches for dealing with image-based gesture and input recognition are wanted. To get a glimpse into the various problems and solutions present in the field, a configurable image filter pipeline framework based on OpenCV is presented. Aiming at real-time applications, the framework is written entirely in C++. Both OpenCV-based functions and custom filters are presented in order to solve various problems. The subjects of image analysis and human-computer interaction are explored, including a few specific use-cases. Pipeline configurations are presented for each use-case, including details such as processing time, the order in which filters are applied, settings used and problems that were encountered. The field of augmented reality is investigated and a few exemplary end-user applications are developed and presented for this purpose. Lastly, a discussion on the results is held, which answers problems with possible solutions and suggests further work where necessary.
Place, publisher, year, edition, pages
2014. , 42 p.
Teknik, realtid, interaktion, OpenCV, Open Computer Vision, bildanalys, gestigenkänning, filtrering, datorseende, Människa–datorinteraktion, hand-igenkänning, polygon-approximering
IdentifiersURN: urn:nbn:se:ltu:diva-54868Local ID: bcca6075-4774-466c-9990-4f3cd91343d4OAI: oai:DiVA.org:ltu-54868DiVA: diva2:1028250
Subject / course
Student thesis, at least 15 credits
Computer Game Programming, bachelor's level
Validerat; 20140702 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved