Learn More
In this paper, we present a novel approach to deal with the problem of detecting whether the eyes in a given still face image are closed, which has wide potential applications in human–computer interface design, facial expression recognition, driver fatigue detection, and so on. The approach combines the strength of multiple feature sets to characterize the(More)
Eye localization has gained a wide range of applications in face recognition, gaze estimation, pose estimation, expression analysis, etc. However, due to the high degree of appearance variability of eyes in size, shape, color, texture and various ambient environment changes, this task is challenging. During the last three decades, numerous techniques have(More)
In this paper, we present an enhanced Pictorial Structure (PS) model for precise eye localization, a fundamental problem involved in many face processing tasks. PS is a computationally efficient framework for part-based object modelling. For face images taken under uncontrolled conditions, however, the traditional PS model is not flexible enough for(More)
Recent work has shown the advantages of using attribute-based representation over low-level feature descriptors in face verification, due to its capability to explicitly encode high-level semantic meaning with economical coding bits. However, most work assumes that the attributes of a given face is independent to each other. In this paper we present a novel(More)
The smart buildings today have various sensors to monitor its energy consumption, and will automatically adjust itself based on occupancy. However, current approaches are optimized for reducing energy consumption while preserving user experience. We believe that proactively modifying occupants' behavior is necessary to further reduce their energy footprint.(More)
  • 1