Titlebook: Robotics and Rehabilitation Intelligence; First International Jianhua Qian,Honghai Liu,Dalin Zhou Conference proceedings 2020 Springer Nat

出沒(méi)

Modelling for a 6DOF Anthropomorphic Manipulatorly a humanoid structure but a human-like feature regarding the motion. But most anthropomorphic robots use the system which is mature algorithms integrated or closed to customers. To avoid this, remodeling is necessary and important for theoretic studying as well as precise controlling which not onl

手銬

Object Texture Transform Based on Improved CycleGANearch direction. In the application of target deformation, the traditional algorithm has the disadvantages of unclear positioning and difficult separation from the background. In this paper, an improved cyclic generative antagonistic network (CycleGAN) is proposed. The model adds a layer of self-att

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Pose Estimation for Planar Target Based on Monocular Visual Informationr vision. Firstly, a cooperative target composed of five circular patterns is designed to increase the measurement accuracy. To solve the shortcomings of traditional image processing algorithms, we add two constraints, area threshold and ellipse roundness, to achieve more accurate feature extraction

換話題

Context-Aware Convolutional Neural Network for Single Image Super-Resolutionhe field of computer vision. In recent years, convolutional neural network has made much progress in single image super-resolution. However, the super-resolution algorithms based on convolution network is still difficult to accurately reconstruct the image. In order to improve the reconstruction per

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