We propose a fusion paradigm where the quality measures are quantised into a finite set of discrete quality states, e.g., “good illumination vs. “bad ...
We propose a fusion paradigm where the quality measures are quantised into a finite set of discrete quality states, e.g., "good illumination vs. "bad ...
Abstract. Face as a biometric is known to be sensitive to different factors, e.g., illumnation con- dition and pose. The resultant degradation in face image ...
We propose a fusion paradigm where the quality measures are quantised into a finite set of discrete quality states, e.g., “good illumination vs. “bad ...
On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers. Conference Paper. May 2007. Norman Poh · Guillaume ...
Apr 25, 2024 · On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers. MCS 2007: 344-356; 2006. [c2]. view.
2018. Intramodal and Multimodal Fusion of Biometric Experts-On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers.
... Face Authentication -- View-Based Eigenspaces ... Authentication Is a Multiple Classifier Problem. ... Kernel-Based Fusion -- Combining Pattern Recognition ...
ABSTRACT. We address the problem of score level fusion of intramodal and multimodal experts in the context of biometric identity verification.
On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers · N. PohG. HeuschJ. Kittler. Computer Science. MCS. 2007.