Embodied Visual Object Recognition.
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| Superior document: | Linköping Studies in Science and Technology. Dissertations Series ; v.1811 |
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| Place / Publishing House: | Linköping : : Linkopings Universitet,, 2016. {copy}2017. |
| Year of Publication: | 2016 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Online Access: | |
| Physical Description: | 1 online resource (107 pages) |
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Table of Contents:
- Intro
- Abstract
- Populärvetenskaplig sammanfattning
- Acknowledgments
- Contents
- 1 Introduction
- 2 What is embodied visual object recognition?
- 3 Eyes and vision
- 4 Single and multiple view geometry
- 5 Stereo Vision
- 6 Visual attention
- 7 Segmentation
- 8 Description, Learning and Representation
- 9 Bag-of-words methods
- 10 Decision forests
- 11 Neural networks and deep learning
- 12 Eddie: an EVOR platform
- 13 Concluding Remarks
- Bibliography.