Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral) deep-learning pytorch photometric-stereo non-lambertian uncalibrated Updated Jul 8, 2024 Python guanyingc / PS-FCN Star 106 Code Issues Pull requests Learning Based Calibrated Photometric Stereo for Non-Lamb...
Robust Photometric Stereo . Contribute to yasumat/RobustPhotometricStereo development by creating an account on GitHub.
project page:PS-NeRF (ywq.github.io) 代码:github.com/ywq/psnerf 1-论文试图解决什么问题?这是否是一个新的问题? 多视角立体视觉(MVS)依赖于不同图像之间的特征匹配,其重建往往缺乏细节。 光度立体(PS)可以从不同光方向下的单视角图像中恢复物体的逐像素表面法向量。PS方法利用shading信息,可以恢复非朗伯和...
Photometric Stereo 光度立体法三维重建 光度立体法 光度立体法,即Photometric Stereo, 最早是由当时在MIT的人工智能实验室的Robert J. Woodham教授在1978年左右提出。他在1979年的论文《Photometric stereo: A reflectance map technique for determining surface orientation from image intensity》,以及1980年的论文《Photo...
已开源:photometricstereo.github.io,数据集+在线评估 Q7测试多个PS方法在本数据集上的结果 评价指标:MAE 平均角误差 基于深度学习的标定的PS方法:未标定的方法universal PS(自然光) 1. 全像素方法:NA-PSN,PS-FCN2. 逐像素方法:CNN-PS,PX-Net3. 全像素+逐像素方法:GPS-Net 1. PF14(非深度学习方法)2. ...
The recently proposed deep uncalibrated photometric stereo method achieved promising results in estimating directional lightings. However, what specifically inside the network contributes to its success remains a mystery. In this paper, we analyze the features learned by this method and find that they ...
To address these issues, a novel defect detection technique based on deep learning and photometric stereo vision was proposed, along with the creation of the Metal Surface Defect Dataset (MSDD). The proposed Stroboscopic Illuminant Image Acquisition (SIIA) method uses a specially arranged illuminant ...
本文将会介绍几种具有代表性的将深度学习与Photometric Stereo进行结合来进行三维重建的方法 一、开山之作 DPSN 论文:Deep Photometric Stereo Network github:https://github.com/hiroaki-santo/deep-photometric-stereo-network 参数化的郎伯反射模型建立在理想的漫反射假设下,而且只适用... ...
Deep Photometric Stereo Network 摘要 本文提出了一种基于深度学习的光度立体方法。光度立体的主要困难之一是设计合适的反射模型,该模型既可以表示真实的反射率,又可以在导出表面法线方面在计算上易于处理。与以前的依赖于简化的参数化图像形成模型(例如Lambert模型)的光度学立体方法不同,本文提出的方法旨在通过使用深度...
photometric stereo, butthe main challenge preventing their practical application in process metrology lies in the difficulties in thegeneration of a comprehensive dataset for training the deep learning model. This paper presents a newDeep-learning basedPoint-lightPhotometricStereo method, DPPS, which ...