The proposed algorithm is based on the techniques of the convolutional neural network (CNN), the object refocus filter, and the gradient map to avoid ...
In summary, we propose an automatic novel 2D ear detection algorithm with the techniques of the refocus filter and the gradient map. They can help us to ...
For example, Chen et al. applied Faster R-CNN with the object refocus filter and the gradient map to avoid illumination variation and make the features of ears ...
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Nov 8, 2021 · Chen et al. modified the faster R-CNN model with focus filters and the gradient map to avoid illumination variation and make the features more ...
May 31, 2024 · This study focuses on ear biometric identification, exploiting its distinctive features for enhanced accuracy, reliability, and usability.
Missing: Refocus | Show results with:Refocus
Advanced Ear Detection Algorithm Using Faster R-CNN, Refocus Filters, and the Gradient Map. Conference Paper. Nov 2018. Chien-Yu Chen ...
An improved faster region convolutional neural network (RCNN) algorithm integrating the convolutional block attention module (CBAM) and feature pyramid network ...
Missing: Ear Refocus
Aug 25, 2023 · 4. C. Chen, J. Ding and C. Huang, "Advanced Ear Detection Algorithm Using Faster R-CNN, Refocus Filters, and the Gradient Map," 2018 IEEE 23rd ...
Jul 9, 2020 · In this paper, a more robust face detection algorithm is proposed. It integrates the advantages of both the feature-based and the CNN-based ...