New method for vanishing point detection
CVGIP: Image Understanding
The Recovery and Understanding of a Line Drawing from Indoor Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Geometric computation for machine vision
Geometric computation for machine vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Thermal Imaging for Anxiety Detection
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
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Thermal infrared sensors can be used for measuring the facial skin temperature and other parts of the human. Unfortunately, it is difficult to extract some face features, even the salient features such as the corners of eyes and mouth, nostrils, in the infrared image due to the limitations of the infrared camera: higher noise. This motivates us to develop a system that combines the infrared and visible-spectrum sensors to measure the skin-temperature of the faces. In this paper, a new method is proposed to measure the face temperature by combining the visible and infrared face images. A novel vanishing-point based approach is applied to the visible image to determine the 3D pose of the human head. Then the corresponding pose with respect to the infrared camera is computed through the known relationship between the visible and infrared cameras, which is calibrated. By doing so, the skin temperature range within the infrared image can be superimposed over the visible face image. The results on the synthetic data and real images have verified the performance of the approach.