face recognitionimage colour analysislearning (artificial intelligence)neural netsReliable facial recognition systems are of crucial importance in various applications from entertainment to security. Thanks to
4、实验结果 在[18]中首次引入的多模态RGB-D-T人脸数据集进行了实验。 该数据集由51人组成,大多数为20至40岁的高加索人。 在受控的实验室环境下,在不同的旋转,照明和面部表情条件下捕捉面部(参见图3)。 微软Kinect被用来捕捉RGB和Depth,而AXIS Q1922传感器被用来捕捉热图像。整个数据集总共45900张图像。 用H...
Aiming at the rapid identification of rural buildings in complex environments from high-spatialresolution images, an improved Mahalanobis distance colour segmentation method (IMDCSM) is proposed and realised in Red, Green and Blue (RGB) space. Vector sets of a lower discrete degree are obtained by...
Facial identity recognition is one of the challenging problems in the domain of computer vision. Facial identity comprises the facial attributes of a person’s face ranging from age progression, gender, hairstyle, etc. Manipulating facial attributes such as changing the gender, hairstyle, expressions,...
the true case rate (TN) is as high as 92.54%, the false positive case rate (FP) is as low as 1.86%, and the true case rate (TP) is as high as 4.38% in the recognition of crack images, which strongly proves that VM-UNet++ has a certain accuracy in the recognition of crack imag...
【1】 PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition标题:PIC-SCORE:单一和多生物特征(人脸)识别中最佳匹配置信度的概率可解释比较分数链接:arxiv.org/abs/2211.1248作者:Pedro C. Neto,Ana F. Sequeira,Jaime S. Cardo...
The proposed technique applies the red, green and blue color (RGB), the hue, saturation and value (HSV) histogram and the LBP textural features to extract rich and informative feature vectors. At the same time, disease recognition is performed by employing advanced machine-learning classifiers. ...
After reviewing the challenges and progress of fruit detection and counting, the rest of this paper is structured as follows: Section 2 presents the image acquisition and dataset creation, the improved YOLOv5 based on RGB-D fusion, and the tomato cluster tracking and counting method; Section 3 ...
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, im
Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., Nießner, M.: Face2Face: real-time face capture and reenactment of RGB videos. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016) Google Scholar Tran, A.T., Hassner, T., Masi, I., Medio...