Real-Time Texture-less Object Recognition on Mobile Devices
This paper presents a technique for real-time texture-less object recognition and tracking on mobile devices. Our proposed algorithm is an even lighter-weight version of the recent state-of-the-art binary-based texture-less object detector BIND (Binary Integrated Net Descriptor), primarily customize...
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Published in | 2018 24th International Conference on Pattern Recognition (ICPR) pp. 3273 - 3278 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2018
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Subjects | |
Online Access | Get full text |
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Summary: | This paper presents a technique for real-time texture-less object recognition and tracking on mobile devices. Our proposed algorithm is an even lighter-weight version of the recent state-of-the-art binary-based texture-less object detector BIND (Binary Integrated Net Descriptor), primarily customized for mobile device applications. This modification, termed BIND-Lite, employs various techniques to overcome the low-computational power of current mobile devices, while mostly retaining the texture-less object detection robustness of the original BIND. On current generation mobile devices, BIND-Lite was able to achieve runtime rates of up to 30 frames per second. To evaluate our algorithm, we have also designed a mobile augmented reality application coined IMPRINT, which renders logos/images onto detected objects to showcase BIND-Lite in a real-time mobile augmented reality setting. |
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DOI: | 10.1109/ICPR.2018.8545158 |