4.8 Article

Deep Photometric Stereo for Non-Lambertian Surfaces

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo

Boxin Shi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)

Article Computer Science, Artificial Intelligence

SymPS: BRDF Symmetry Guided Photometric Stereo for Shape and Light Source Estimation

Feng Lu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Learning to Estimate Indoor Lighting from 3D Objects

Henrique Weber et al.

2018 INTERNATIONAL CONFERENCE ON 3D VISION (3DV) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces

Hao Zhou et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Article Computer Science, Artificial Intelligence

Shape and Spatially-Varying Reflectance Estimation from Virtual Exemplars

Zhuo Hui et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Learned Multi-Patch Similarity

Wilfried Hartmann et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Photometric Stereo Network

Hiroaki Santo et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Outdoor Illumination Estimation

Yannick Hold-Geoffroy et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Software Engineering

Learning to Predict Indoor Illumination from a Single Image

Marc-Andre Gardner et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Article Computer Science, Artificial Intelligence

Direct Differential Photometric Stereo Shape Recovery of Diffuse and Specular Surfaces

S. Tozza et al.

JOURNAL OF MATHEMATICAL IMAGING AND VISION (2016)

Article Computer Science, Artificial Intelligence

Bi-polynomial Modeling of Low-Frequency Reflectances

Boxin Shi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2014)

Article Computer Science, Artificial Intelligence

A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima

Thoma Papadhimitri et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2014)

Proceedings Paper Computer Science, Artificial Intelligence

Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces

Satoshi Ikehata et al.

2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)

Proceedings Paper Computer Science, Artificial Intelligence

Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis

Zhe Wu et al.

2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2013)

Proceedings Paper Computer Science, Artificial Intelligence

Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances

Feng Lu et al.

2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2013)

Review Engineering, Electrical & Electronic

An Introduction to Image-based 3D Surface Reconstruction and a Survey of Photometric Stereo Methods

Steffen Herbort et al.

3D RESEARCH (2011)

Article Computer Science, Artificial Intelligence

Shape and Spatially-Varying BRDFs from Photometric Stereo

Dan B. Goldman et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Computer Science, Artificial Intelligence

Photometric Stereo via Expectation Maximization

Tai-Pang Wu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Computer Science, Artificial Intelligence

Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects

Daisuke Miyazaki et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2010)

Article Computer Science, Software Engineering

Heightfield and spatially varying BRDF Reconstruction for Materials with Interreflections

Roland Ruiters et al.

COMPUTER GRAPHICS FORUM (2009)

Article Computer Science, Artificial Intelligence

Multiview photometric stereo

Carlos Hernandez et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2008)

Article Optics

Analysis of photometric factors based on photometiric linearization

Yasuhiro Mukaigawa et al.

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION (2007)

Article Computer Science, Artificial Intelligence

Example-based photometric stereo: Shape reconstruction with general, varying BRDFs

A Hertzmann et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)