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Noninvasive measurement of blood pressure by optical methods receives considerable interest, but the complexity of the measurement and the difficulty of adjusting parameters restrict applications. We develop a method for estimating the systolic and diastolic blood pressure using a single-point optical recording of a photoplethysmographic (PPG) signal. The estimation is data-driven, we use automated...
Frame difference is most widely used in video detection, but the original frame difference is not accurate enough to segment the moving object in special scenes such as light changes suddenly or camera shakes slightly. In this paper, we propose a segmentation algorithm based on improved frame differences. In the algorithm, we first set the frame difference value k by the environment characteristics,...
In this paper, a brain-computer interface (BCI) system based on steady-state visually evoked EEG potentials (SSVEP) has been presented to steer a NAO humanoid robot, in which a novel robot control paradigm with two-layer-interface was designed and implemented. The scene captured from robot camera was divided into different target regions and displayed to the human subjects with extra visual stimulus...
Photoplethysmogram (PPG) signals acquired by smartphone cameras are weaker than those acquired by dedicated pulse oximeters. Furthermore, the signals have lower sampling rates, have notches in the waveform and are more severely affected by baseline drift, leading to specific morphological characteristics. This paper introduces a new feature, the inverted triangular area, to address these specific...
Camera spectral sensitivity functions relate scene radiance with captured RGB triplets. They are important for many computer vision tasks that use color information, such as multispectral imaging, color rendering, and color constancy. In this paper, we aim to explore the space of spectral sensitivity functions for digital color cameras. After collecting a database of 28 cameras covering a variety...
Real-time 3D sensing has many important applications in areas such as robotic navigation, virtual reality and human-computer interaction. A variety of techniques have been developed for the determination of 3D geometry information such as binocular vision, structured light and their combination. However, existing non-contact optical 3D sensing approaches have their own limitations in the process of...
The three-dimensional(3D) plane-recognition technology is the basic research of 3D object matching, 3D scene modeling and scene segmentation. Traditional algorithms rely on specific devices and particular environment or the priori calibration parameters. the algorithm fails completely when lose those information. for the shortcomings of the traditional algorithms, the 3D multi-plane detection algorithm...
Recovering the spectral reflectance of a scene is important for scene understanding. Previous approaches use either specialized filters or controlled illumination where the extra hardware prevents many practical applications. In this paper, we propose a method that accurately recovers spectral reflectance from two images taken with conventional consumer cameras under commonly available lighting conditions,...
Surveillance camera, as an important component of intelligent transportation system, has had a big development in China. The study adopted the algorithm of graphic minimal covering to figure out economical and reasonable locations for surveillance cameras distribution in small and medium-sized city road networks. The minimal covering algorithm was further applied in a case study of an urban industrial...
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