AbstractsComputer Science
Facing the differences between Facebook and OpenCV
| Institution: | KTH Royal Institute of Technology |
|---|---|
| Department: | |
| Year: | 2015 |
| Keywords: | Natural Sciences; Computer and Information Science; Computer Science; Naturvetenskap; Data- och informationsvetenskap; Datavetenskap (datalogi) |
| Record ID: | 1343794 |
| Full text PDF: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166281 |
Abstract
Face detection is used in many different areas and with this thesis we aim to show the difference between Facebooks face detection soft-ware compared with an open source version from OpenCV. By using the simplest implementation of OpenCV we want to find out if it is viable for use in personal applications and be of help for others wanting to implement face detection. The dataset was meticulously checked to find the exact number of faces in each image so that the optimal result is given. The conclusion of this study is that Facebooks algorithm is better trained and thus has better results, however OpenCV is still a viable choice for your own applications.
