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Recent face recognition techniques have achieved remarkable successes in fast face retrieval on huge image datasets. But the performance is still limited when large illumination, pose, and facial expression variations are presented. In contrast, the human brain has powerful cognitive capability to recognize faces and demonstrates robustness across viewpoints, lighting conditions, even in the presence...
Computer vision (CV) has demonstrated its capabilities of face retrieval in rapidly exploring large image collections, but its performance degrades in uncontrolled condition. Human brain has powerful cognitive ability to recognize faces across various conditions, which could complement computer face retrieval. In this paper, we propose a closed-loop face retrieval system by iterative coupling between...
The automatic machine face recognition has achieved great performance but is still far from satisfactory in the uncontrolled environments. Human brain has a powerful ability to recognize faces across various conditions, which makes it possible to introduce brain-computer interface (BCI) technology to face recognition. However, the performance of single-participant based BCI suffers from the low signal-to-noise...
Face recognition has attracted great interest especially in computer vision, but poses and illumination of the face lay great difficulty in recognition accuracy. Studies on human face in the field of cognitive neuroscience found some face-specific event-related potential (ERP) components, such as N170, VPP. And some researchers used these face-specific ERP components to achieve face detection based...
“Semantic gap” is the major bottleneck of semantic-based multimedia retrieval technique in the field of information retrieval. Studies have shown that robust semantic-based image retrieval can be achieved by single-trial visual evoked event related potential (ERP) detection. However, the question remains whether auditory evoked ERP can be utilized to achieve semantic-based sound retrieval. In this...
Event-related potentials (ERP)-based image triage (or search) in the context of Rapid Serial Visual Presentation (RSVP) exploits difference in the human brain response to target and distracted stimuli in the form of an image. So far, most paradigms focus on image triage (or search) among rough object categories. In this paper, we explored the possibility and effectiveness of target detection among...
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