Attentive Sensing for Long-Range Face Recognition

Helio Perroni Filho, Aleksander Trajcevski, Kartikeya Bhargava, Nizwa Javed, James H. Elder; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2023, pp. 613-622

Abstract


To be effective, a social robot must reliably detect and recognize people in all visual directions and in both near and far fields. A major challenge is the resolution/field-of-view tradeoff; here we propose and evaluate a novel attentive sensing solution. Panoramic low-resolution pre-attentive sensing is provided by an array of wide-angle cameras, while attentive sensing is achieved with a high-resolution, narrow field-of-view camera and a mirror-based gaze deflection system. Quantitative evaluation on a novel dataset shows that this attentive sensing strategy can yield good panoramic face recognition performance in the wild out to distances of 35m.

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[bibtex]
@InProceedings{Filho_2023_WACV, author = {Filho, Helio Perroni and Trajcevski, Aleksander and Bhargava, Kartikeya and Javed, Nizwa and Elder, James H.}, title = {Attentive Sensing for Long-Range Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {613-622} }