在本次工作中,作者提出一种实时、6DoF、无需人脸检测和关键点定位的三维人脸姿态估计方法。研究中发现,估计人脸的 rigid transformation(刚体变换)比人脸关键点检测更简单,通常用于3D人脸对齐。此外,6DoF 提供了比人脸边界框标签更多的信息。 基于以上发现,作者得出以下三点贡献: 1、提出了一个容易训练的、有效的、...
Geodesic Error (GE)7.10# 2 Compare MAE-aligned (trained with other data)3.4# 5 Compare Geodesic Error - aligned (GE)6.23# 8 Compare Face DetectionWIDER Face (Easy)img2poseAP0.9# 24 Compare Face DetectionWIDER Face (Hard)img2poseAP0.839# 24 ...
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation Paper accepted to the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Figure 1: We estimate the 6DoF rigid transformation of a 3D face (rendered in silver), aligning it with even the tiniest faces, ...
i am trying to run python img2poses.py $your-images-folder to get camera poses for training (Neural Radiance Fields) and get this ERROR. Can you explain what the problem might be and how to fix it Need to run COLMAP Features extracted Features matched ERROR: failed to create sparse mode...
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img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimationdoi:10.1109/CVPR46437.2021.00753Vitor AlbieroXingyu ChenXi YinGuan PangTal HassnerIEEEComputer Vision and Pattern Recognition
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