computervision photometric-stereo Updated Jun 9, 2020 Python guanyingc / SDPS-Net Star 184 Code Issues Pull requests Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral) deep-learning pytorch photometric-stereo non-lambertian uncalibrated Updated Jul 8, 2024...
Robust Photometric Stereo in Python written by Yasuyuki Matsushita (yasumat@ist.osaka-u.ac.jp) supported by Osaka University and JSPS KAKENHI Grant Number JP16H01732, Japan based on a part of robust photometric stereo works in 2010-2018 conducted at Microsoft Research Asia and Osaka University ...
Uncertainty-Aware Deep Multi-View Photometric Stereo Berk Kaya1 Suryansh Kumar1* Carlos Oliveira1 Vittorio Ferrari2 Luc Van Gool1,3 ETH Zürich1, Google Research2, KU Leuven3 Abstract This paper presents a simple and effective solution to the longstanding classical multi-view photometric ...
Multi-View Photometric Stereo Revisited Berk Kaya1 Suryansh Kumar1* Carlos Oliveira1 Vittorio Ferrari2 Luc Van Gool1,3 ETH Zürich1, Google Research2, KU Leuven3 Abstract Multi-view photometric stereo (MVPS) is a preferred method for detailed and precise 3D acquisition of an ob- ject from ...
For additional information on photometric parameters, see the following: Enable Photometric Parameters (Reference) Raytracing > Enable Photometric Parameters (Reference) vrdEnvironmentMaterial (Python) vrSpectrum (Python) vrdRayFile (Python)
PhotometricStereoDo**is 上传7.67 MB 文件格式 zip Python 检查要求:1) Python 2.7 2) pip ( ) 3) 如果安装了 pip,请运行 pip install -r requirements.txt 安装其余的要求(PIL、numpy 和 scipy) 跑步: First, create a folder called output: mkdir output This package has 4 executables: 1) src/...
Term project. A python implementation of the Basic Photometric Stereo Algorithm - Initial commit · Robin-WZQ/Photometric-Stereo@6883a37
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 ...
python run_model.py --gpu_ids 0 --model GCNet_model --GCNet_name GCNet --GCNet_checkp data/models_ECCV2020/GCNet.pth \ --benchmark ups_GourdApple_dataset --bm_dir data/datasets/Gourd_Apple_Numpy_Data/ Test GCNet on Harvard photometric stereo dataset This dataset can be downloaded in ht...
Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neural inverse rendering method for MVPS based on implicit representation. Given multi-view images of a non-Lambertian objec...