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The DoE (Design of Experiments)-based calibration method that incorporates models is called MBC (Model Based Calibration) and accomplishes modeling and optimization with MATALAB Toolbox- MBC Model Fitting and MBC Optimization. This methodology is provided with less calibration time as well as identical accuracy of measurement. This paper presents a DoE-based experiment to investigate the effects of...
This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the...
This paper introduces a novel method for the depth map and RGB image alignment for Kinect. Genetic algorithm is used to estimate the key points from both depth and RGB images, and this method is robust to the uncertainties of the extracted point numbers. The experimental results demonstrated that the proposed method is capable of precisely aligning the depth and RGB images, contributes a great improvement...
In this paper, we propose a multi-camera video stitching approach, which conducts borderline adjusting based on foreground information. In real time applications of video stitching, one problem is to deal with dynamic scenes, where foreground objects often cause broken objects like artifacts in panoramic video. To address this problem, we propose a foreground based borderline adjusting method to achieve...
This paper proposes a novel approach to stitch videos fast and with high quality. In general, scene depth is frequently varying for dynamic video content. For example, moving foreground objects will move closely or far from a camera. The scene depth will be changing according to changed scene content. Therefore, accurate projection transform estimation corresponding to current scene depth is required...
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