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The.Detail.Analysis.and.Improvement.of.Calibration
- 以计算机视觉和视觉检测中的摄像机标定过程作为研究的对象,分析了开源计算机视觉函数库OpenCV中的摄像机模型,使用张正友基于平面模板的方法进行标定,过程中充分考虑了透镜径向畸变和切向畸变因素的影响。文章给出了标定的详细步骤,并对具体函数做了算法上的分析,同时从参数非线性回归分析的角度提出了优化的途径和措施。该算法充分发挥了OpenCV函数库的功能,提高了标定精度和计算效率,具有良好的跨平台移植性,可以满足视觉检测或其它计算机视觉系统的需要。-To computer vision and visu
2-PERCEPTUAL-ATTENTIVE-SUPER-RESOLUTION
- A Perceptually Attentive Super-Resolution (PASR) method is presented to significantly reduce the computational complexity of iterative super-resolution algorithms without loss of the desired perceptual quality. A perceptual model based on just
image-recognisition
- Actual applications require specifi c methods to reduce the infl uence of the correlation to distortions that appear when input images differ from their reference model. When the distortion model can be described analytically (such as
Extrinsic-Camera-Calibration
- 摄像机标定文献，阐述了摄像机模型，畸变模型和一般的求解过程，以及优化方法-Camera calibration literature on the camera model, distortion model and the solution process, as well as the optimization method
CHAOGAOSI
- 研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 -Recent research indicates that the speech spectral ampli
3.-A-New-Algorithm-for-Less-Distortion-and-High-C
- 3. A New Algorithm for Less Distortion and High Capacity Steganography Model using Blocjs-Based Method
fual
- 一种计及不完备信息的电力系统抑制弧Petri网故障诊断改进模型，保证在出现保护、断路器发生误动、拒动或者警报信息出现丢失、畸变等异常情况时的故障诊断结果的准确性-An account of incomplete information systems inhibit electrical arc Petri nets improved fault diagnosis model, to ensure that in the event of the protection circuit brea
Just-noticeable-distortion-model
- 经典的恰可察觉失真模型，考虑亮度、纹理等空域的因素，该模型可以很好的应用于HEVC中-A classical JND model, considering the airspace of the factors such as brightness, texture, the model can be applied to HEVC as well