Dr. Feng Liu Profile

Dr. Feng Liu

at Tianjin Univ

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Publications (7)

Proceedings Article | 1 November 2016 Paper

An exploratory study on the driving method of speech synthesis based on the human eye reading imaging data

Pei-pei Gao, Feng Liu

Proceedings Volume 10157, 101573O (2016) https://doi.org/10.1117/12.2248205

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SPIE Journal Paper | 11 September 2015 Open Access

Evaluation of positioning error-induced pixel shifts on satellite linear push-broom imagery

Xiangjun Wang, Yang Li, Hong Wei, Guimin Jia, Feng Liu

JARS, Vol. 9, Issue 01, 095061, (September 2015) https://doi.org/10.1117/12.10.1117/1.JRS.9.095061

KEYWORDS: Satellites, Satellite imaging, Earth observing sensors, Imaging systems, Georeferencing, Charge-coupled devices, Sensors, CCD image sensors, Remote sensing, Error analysis

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Proceedings Article | 3 December 2014 Paper

A verification and errors analysis of the model for object positioning based on binocular stereo vision for airport surface surveillance

Huan-huan Wang, Jian Wang, Feng Liu, Hai-juan Cao, Xiang-jun Wang

Proceedings Volume 9297, 929718 (2014) https://doi.org/10.1117/12.2072407

KEYWORDS: Radar, Visual process modeling, Data modeling, Imaging systems, Cameras, Calibration, Error analysis, Surveillance, Data processing, Global Positioning System

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Proceedings Article | 24 November 2014 Paper

Fundamental matrix estimation for binocular vision measuring system used in wild field

Nian Yan, Xiangjun Wang, Feng Liu

Proceedings Volume 9301, 93010S (2014) https://doi.org/10.1117/12.2070319

KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Data modeling, Cameras, Sensors, Calibration, 3D modeling, Image registration, Coded apertures, Expectation maximization algorithms

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Proceedings Article | 21 August 2013 Paper

A scheme for parameter calibration in super-size two-dimensional scale events sensing and positioning system using binocular stereo vision

Jian Wang, Xiangjun Wang, Feng Liu, Zhe Qin, Xihang Guo, Shaonan Li

Proceedings Volume 8908, 890820 (2013) https://doi.org/10.1117/12.2034691

KEYWORDS: Imaging systems, Cameras, Calibration, Error analysis, Computing systems, Surveillance, Machine vision, Measurement devices, Sensing systems, Stereo vision systems

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Camera and system parameters calibration is an essential process for a distance measuring system using binocular stereo vision. In usual ways of calibration, brightly colored objects are put at the center of the area of surveillance to avoid big errors in measurement as targets are far away from the center. When calibration objects are not allowed to be put in the sensing area of interest, they should be placed somewhere else outside. A scheme of calibration is proposed for system parameters correction in super-size two dimensional scale events sensing and positioning system using binocular stereo vision. The location of a reference point is specified at the center of the surveillance area of about 200,000 meters square, and the coordinate of the center is known in the physical world. Coordinates of cameras and calibration objects outside the surveillance area are measured in physical world coordinates system. It is convenient to compute the angle between the side connecting camera with the calibration object and the one connecting the same camera with the reference point using the longitude and altitude values measured. When calibration is performed, orientation of the camera is obtained and position of the object on the imaging plane is read out in pixels. Rotating the camera with the angle computed above, the reference point would be on the optical axis of the camera in the ideal case. The accuracy of the device for measuring the angle contributes to the error in aligning the optical axis passing through the reference point. In the experiment, when putting a calibration object at the reference point, the position of the object on an imaging plane could be read out in pixels. Comparing the difference of pixels between the two orientations of the camera, errors caused by rotating the camera can be determined. When another camera is configured to form a binocular stereo vision system, parameters are calibrated in the same way. Theoretical analysis shows that the error caused by adjusting two cameras is limited by a shape that approximates a quadrilateral. The area of the quadrilateral is determined by both the accuracy of the angle measuring device and the distances between the cameras and the reference point. Comparison of theoretical with experimental results is made, indicating the effectiveness of this scheme.

Proceedings Article | 21 August 2013 Paper

Implicit prosody mining based on the human eye image capture technology

Pei-pei Gao, Feng Liu

Proceedings Volume 8908, 89081X (2013) https://doi.org/10.1117/12.2034656

KEYWORDS: Eye, Visual process modeling, Cognitive modeling, Control systems, Signal processing, Mining, Human-computer interaction, Eye models, Systems modeling, Motion controllers

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The technology of eye tracker has become the main methods of analyzing the recognition issues in human-computer interaction. Human eye image capture is the key problem of the eye tracking. Based on further research, a new human-computer interaction method introduced to enrich the form of speech synthetic. We propose a method of Implicit Prosody mining based on the human eye image capture technology to extract the parameters from the image of human eyes when reading, control and drive prosody generation in speech synthesis, and establish prosodic model with high simulation accuracy. Duration model is key issues for prosody generation. For the duration model, this paper put forward a new idea for obtaining gaze duration of eyes when reading based on the eye image capture technology, and synchronous controlling this duration and pronunciation duration in speech synthesis. The movement of human eyes during reading is a comprehensive multi-factor interactive process, such as gaze, twitching and backsight. Therefore, how to extract the appropriate information from the image of human eyes need to be considered and the gaze regularity of eyes need to be obtained as references of modeling. Based on the analysis of current three kinds of eye movement control model and the characteristics of the Implicit Prosody reading, relative independence between speech processing system of text and eye movement control system was discussed. It was proved that under the same text familiarity condition, gaze duration of eyes when reading and internal voice pronunciation duration are synchronous. The eye gaze duration model based on the Chinese language level prosodic structure was presented to change previous methods of machine learning and probability forecasting, obtain readers’ real internal reading rhythm and to synthesize voice with personalized rhythm. This research will enrich human-computer interactive form, and will be practical significance and application prospect in terms of disabled assisted speech interaction. Experiments show that Implicit Prosody mining based on the human eye image capture technology makes the synthesized speech has more flexible expressions.

Proceedings Article | 21 August 2013 Paper

Independent pose measurement using monocular vision based on laser projection

Feng Liu, Pei-pei Gao, Heng Zhao, Nian Yan, Wei Jing

Proceedings Volume 8908, 89081W (2013) https://doi.org/10.1117/12.2034647

KEYWORDS: Modulation, Imaging systems, Cameras, Image segmentation, Error analysis, Control systems, Servomechanisms, Motion models, Light, Motion controllers

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