Search Results for author:
Found 8 papers, 3 papers with code
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
Occlusion is a common problem with biometric recognition in the wild.
CASIA-Iris-Africa: A Large-scale African Iris Image Database
The database contains 28, 717 images of 1023 African subjects (2046 iris classes) with age, gender, and ethnicity attributes that can be useful in demographically sensitive studies of Africans.
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
In this paper, we propose HumanDiffusion, a coarse-to-fine alignment diffusion framework, for text-driven person image generation.
An End-to-End Autofocus Camera for Iris on the Move
To accommodate users at different distances, it is necessary to control focus quickly and accurately.
CASIA-Face-Africa: A Large-scale African Face Image Database
The proposed database along with its face landmark annotations, evaluation protocols and preliminary results form a good benchmark to study the essential aspects of face biometrics for African subjects, especially face image preprocessing, face feature analysis and matching, facial expression recognition, sex/age estimation, ethnic classification, face image generation, etc.
All-in-Focus Iris Camera With a Great Capture Volume
In this study, we develop a novel all-in-focus iris imaging system using a focus-tunable lens and a 2D steering mirror to greatly extend capture volume by spatiotemporal multiplexing method.
Recognition Oriented Iris Image Quality Assessment in the Feature Space
The quality metric proposed in this paper can significantly improve the performance of the recognition algorithm while reducing the number of images discarded for recognition, which is advantageous over hand-crafted factors based iris quality assessment methods.
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Extensive experiments demonstrate the advantages of the PAAS technique to counter diverse face spoofing attacks (print, replay, mask) in uncontrolled indoor and outdoor conditions by learning polarized face images of 33 people.
