A mobile application for multiview object recognition

Matej Račič (2017) A mobile application for multiview object recognition. EngD thesis.

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Abstract

The thesis deals with the problem of multiview object recognition with a mobile application. To achieve this, we have used the neural network architecture called Inception, that uses the Tensorflow environment which enables simple modifications of the learning process. We used a specific collection of images, to help us objectively and realistically evaluate how well the object recognition works. We have presented good practices and we have applied that knowledge in the development of our object recognition. We have also examined various effects of different parameters such as number of iterations and training samples. We have combined it all and modified the model for recognising our own selected categories and maximising the results of the object recognition. Using Android Studio we have transferred the generated model to a mobile device.

Item Type:

Thesis (EngD thesis)

Keywords:

mobile devices, object recognition, neural networks

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr. Matej Kristan	4053	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537579971)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

3962

Date Deposited:

16 Sep 2017 12:06

Last Modified:

10 Oct 2017 09:02

URI:

http://eprints.fri.uni-lj.si/id/eprint/3962

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