Titlebook: Image and Graphics; 11th International C Yuxin Peng,Shi-Min Hu,Kun Xu Conference proceedings 2021 Springer Nature Switzerland AG 2021 artif

一個(gè)攪動(dòng)不安

palette

Improved 3D Morphable Model for Facial Action Unit Synthesis face model that combines facial action coding system (FACS) and 3D morphable model (3DMM). Our proposed 3D face model can be used for 3D facial expression synthesis with local action units (AUs). To be specific, AUs are introduced as prior knowledge into the 3D face model to capture the anatomicall

媒介

acrophobia

KeypointNet: Ranking Point Cloud for Convolution Neural Networkowever, the irregularity and disorder of point clouds make the convolution operation ill-suited to preserve the spatial-local structure and make the existing convolution networks very shallow. In order to solve the problems, we propose a novel pre-processor network named KeypointNet which ranks the

BROW

Geometric Context Sensitive Loss and Its Application for Nonrigid Structure from?Motionevious techniques utilize Mean Square Error (MSE) loss function to measure the difference between the prediction coordinates and its corresponding ground-truth in training step, which usually assumes that coordinates are independent to each other without considering their correlations, neglecting th

狂熱文化

用肘

可能性

No-Reference Image Quality Assessment via Broad Learning Systemimage processing. Even though, a large number of super parameters make the computational complexity gradually increase. Surprisingly, Broad Learning System (BLS) can transform the deep structure of DL into a flat and visual network structure, which reduces the difficulty for practical applications.

蜈蚣

Hindsight Curriculum Generation Based Multi-Goal Experience Replaypseudo goals—has shown the potential to learn from failed experiences. However, not all the pseudo goals are well-explored to provide reliable value estimates. In view of value estimation, the agent should learn from achievable goals towards desired goals distribution progressively. To tackle the pr

責(zé)任

Gesture-Based Autonomous Diving Buddy for Underwater Photographyresents an Autonomous Diving Buddy to assist divers and ensure their safety. In this paper, considering the limitations of the previous underwater interaction, we proposed an algorithm based on gesture recognition, assisted by underwater image enhancement and target tracking, which can effectively c