Date: July 26,2019
Glasssix Research: Accelouch
Abstract: In many science and engineering disciplines, such as physics, chemistry, statistics, economics, biology, signal processing, automatic control, systems theory, medicine and military engineering, many problems can be mathematically modeled as the matrix equation Ax = b.
Abstract: In many science and engineering disciplines, such as physics, chemistry, statistics, economics, biology, signal processing, automatic control, systems theory, medicine and military engineering, many problems can be mathematically modeled as the matrix equation Ax = b.
Date: September 30,2018
Glasssix Research: YiFu Zhang
Abstract: To improve the speed and accuracy of face detection, the final classifier needs to be obtained by cascade of several strong classifiers.This paper will introduce the training process of cascade classifier in detail.
Abstract: To improve the speed and accuracy of face detection, the final classifier needs to be obtained by cascade of several strong classifiers.This paper will introduce the training process of cascade classifier in detail.
Date: August 31,2018
Glasssix Research: Ji Zhang
Abstract: With the establishment of wavelet transform theory, fractal theory, artificial neural network theory and visual simulation theory, image compression technology has achieved unprecedented development. Some relevant algorithms are studied and interpreted in this paper.
Abstract: With the establishment of wavelet transform theory, fractal theory, artificial neural network theory and visual simulation theory, image compression technology has achieved unprecedented development. Some relevant algorithms are studied and interpreted in this paper.
Date: March 13,2020
Glasssix Research: Accelouch
Abstract: Sparse representation of the signal is to use as few atoms as possible to represent a signal in a given super-complete dictionary, and a more concise representation of the signal can be obtained, which makes it easier for us to obtain the information contained in the signal, which is more convenient and further Signal processing, such as compression, encoding, etc.
Abstract: Sparse representation of the signal is to use as few atoms as possible to represent a signal in a given super-complete dictionary, and a more concise representation of the signal can be obtained, which makes it easier for us to obtain the information contained in the signal, which is more convenient and further Signal processing, such as compression, encoding, etc.
Date: July 05,2019
Glasssix Research: Ji Zhang
Abstract: To use facial recognition safely, you need facial AntiSpoofing technology to detect spoofing attacks before performing the recognition.
Abstract: To use facial recognition safely, you need facial AntiSpoofing technology to detect spoofing attacks before performing the recognition.
Date: July 05,2019
Glasssix Research: KaiKai Bian
Abstract: Convolutional neural networks have pushed the boundaries on a wide variety of vision tasks, A significant portion of recent studies on CNNs focused on increasing network depth and representation ability. Haing a good understanding how convolution naturally leads to discriminative representation and good generalization remains an interesting problem.
Abstract: Convolutional neural networks have pushed the boundaries on a wide variety of vision tasks, A significant portion of recent studies on CNNs focused on increasing network depth and representation ability. Haing a good understanding how convolution naturally leads to discriminative representation and good generalization remains an interesting problem.
Date: November 16,2018
Glasssix Research: Ji Zhang
Abstract:Gaussian filter is a linear smoothing filter, suitable for eliminating gaussian noise, widely used in image processing noise reduction process. Generally speaking, gaussian filtering is the process of weighted average of the whole image. The value of each pixel is obtained by the weighted average of itself and other pixel values in the neighborhood.
Abstract:Gaussian filter is a linear smoothing filter, suitable for eliminating gaussian noise, widely used in image processing noise reduction process. Generally speaking, gaussian filtering is the process of weighted average of the whole image. The value of each pixel is obtained by the weighted average of itself and other pixel values in the neighborhood.