清华大学的贾珈团队提出了一个将面部捕捉和面部重定向端到端地结合起来的自监督框架VFA( Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space),论文已被ACM Multimedia 2023会议接收。…
This work takes important steps towards solving the following problem of current interest: Assuming that each individual in a population can be modeled by a single frontal RGBD face image, is it possible to carry out face recognition for such a population using multiple 2D images captured from ...
Description:76500 frames of 17 different people, facing the camera against a plain background. Two sets of the data are captured on the real subjects two weeks apart, while the final set consists of a single person wearing a fake face mask of the 17 different people. Labelling:Which user i...
老版本的C语言接口 ./facedetect --cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml"--scale=1.5lena.jpg ./facedetect --cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml"--nested-cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_eye.x...
mannequin_face_1 mannequin_face_2 mannequin_face_3 mannequin_head motion_1 planar_2 planar_3 plant_1 plant_2 plant_3 plant_4 plant_5 # plant_dark plant_scene_1 plant_scene_2 plant_scene_3 reflective_1 repetitive sfm_bench sfm_garden sfm_house_loop sfm_lab_room_1 sfm_lab_room_2 sof...
import open3d as o3d import matplotlib.pyplot as plt from open3d.open3d.geometry import create_rgbd_image_from_color_and_dept if __name__ == "__main__": print("Read Redwood dataset") color_raw = o3d.io.read_image("00000.jpg") depth_raw = o3d.io.read_image("00000.png") rgbd...
The Python library "face_recognition" provided by Adam Geitgey is applied to face recognition. The OpenPose library is applicable to body and hand key points detection. Finally, the YOLOv5 model of convolutional neural network is used to train our own dataset and recognize mechanical tools. These...
The network pays more attention on the face and hands to enrich the local details. Additionally, we train a denoising auto-encoder to reduce unreasonable states of human model. Due to the lack of human dataset based on RGBD images, we propose an Indoor- Human dataset to train the network,...
An additional challenge rescue robots face is, that there are often high illumination changes and also, that environments can have few features, because everything is covered with dust [22]. So visual trackers for rescue robots face additional challenges. In recent decades we have seen many ...
In this thesis a novel methodology to face people re-identification problem is proposed. Re-identification is a complex research topic representing a fundamental issue especially for intelligent video surveillance applications. Its goal is to determine the occurrences of the same person in different...