A Blur-Robust Descriptor with Applications to Face Recognition

By Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, Ramalingam Chellappa. 2012

98 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Dacheng Tao
2. Bernt Schiele
3. Luc Van Gool
4. Mario Fritz
5. Xiaogang Wang
6. Trevor Darrell
7. Ming-Hsuan Yang
8. Jitendra Malik

In Media Technology

1. Dacheng Tao
2. Changxing Ding
3. Ambasamudram Narayanan Rajagopalan
4. Vitaly Shmatikov
5. Mario Fritz
6. Rodrigo Benenson
7. Seong Joon Oh
8. Reza Shokri

Citations in the corpus

• Defeating Image Obfuscation with Deep Learning (2016, methodology): “Gopalan et al. [12] presented a method to recognize faces obfuscated with non-uniform blurring by examining the space spanned by the blurred images.”
• Faceless Person Recognition: Privacy Implications in Social Media (2016, background): “Similarly, a few other works studied face recognition under blur [48, 49].”
• Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose (2015, methodology): “We would like to point out that both [17] and [19] limit their discussion to frontal faces.”
• Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition (2016, methodology): “Two types of methods have been introduced to reduce the impact of image blur: deblur-based methods [28] and blurrobust feature extraction-based methods [29], [30].”