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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Bibliographic Details
Published in2018 24th International Conference on Pattern Recognition (ICPR) pp. 3273 - 3278
Main Authors Chan, Jacob, Lee, Jimmy Addison, Kemao, Qian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Augmented reality
binary descriptor
binary matching
Detectors
Image recognition
mobile augmented reality
Mobile handsets
object detection
Object recognition
Performance evaluation
Real Time
Real-time systems
texture-less
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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.
DOI:10.1109/ICPR.2018.8545158