Jose Rivera-Rubio

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1 Motivation and contributions In this paper, we address a specific use-case of wearable or hand-held camera technology: indoor navigation. We explore the possibility of crowdsourcing navigational data in the form of video sequences that are captured from wearable or hand-held cameras. Without using geometric inference techniques (such as SLAM), we test(More)
The ubiquity of smartphones with high quality cameras and fast network connections will spawn many new applications. One of these is visual object recognition, an emerging smartphone feature which could play roles in high-street shopping, price comparisons and similar uses. There are also potential roles for such technology in assistive applications , such(More)
Vision is one of the most important of the senses, and humans use it extensively during navigation. We evaluated different types of image and video frame de-scriptors that could be used to determine distinctive visual landmarks for localizing a person based on what is seen by a camera that they carry. To do this, we created a database containing over 3 km(More)
One of the key behaviours found in biological place cells (BPCs) is a rate-coding effect: a neuron's rate of firing decreases with distance from some landmark location. We used visual information from wearable and hand-held cameras in order to reproduce this rate-coding effect in artificial place cells (APCs). The accuracy of localisation using these APCs(More)
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