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Dense Photometric Stereo Using a Mirror Sphere and Graph Cut

Tai-Pang Wu, Chi-Keung Tang
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)  
Our system consists of a mirror sphere, a spotlight and a DV camera only.  ...  by energy minimization using graph cut.  ...  To our knowledge, there is no previous work on using energy minimization via graph cut to solve the dense photometric stereo problem, despite the desirable properties of a fast and simple implementation  ... 
doi:10.1109/cvpr.2005.123 dblp:conf/cvpr/WuT05 fatcat:53qymnw5s5fntniuoxniauzvpi

Dense Photometric Stereo: A Markov Random Field Approach

Tai-Pang Wu, Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The input is a dense set of noisy photometric images, conveniently captured by using a very simple set-up consisting of a digital video camera, a reflective mirror sphere, and a handheld spotlight.  ...  We formulate the dense photometric stereo problem as a Markov network and investigate two important inference algorithms for Markov Random Fields (MRFs)-graph cuts and belief propagation-to optimize for  ...  ACKNOWLEDGMENTS The authors would like to thank the associate editor and all of the reviewers for their thorough and constructive suggestions which were instrumental in improving the quality of the final  ... 
doi:10.1109/tpami.2006.224 pmid:17063687 fatcat:iwk5lh3msnbsfflsnd47goiwoe

Dense Photometric Stereo by Expectation Maximization [chapter]

Tai-Pang Wu, Chi-Keung Tang
2006 Lecture Notes in Computer Science  
We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo.  ...  Experiments show that our EM approach for dense photometric stereo outperforms the previous approaches using the same input.  ...  Review of Dense Photometric Stereo Given a dense set of images captured at a fixed viewpoint with their corresponding light directions, the goal of dense photometric stereo is to find the optimal normal  ... 
doi:10.1007/11744085_13 fatcat:f2exmi6dfzeh3k3wahio4fjq3y

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

Boxin Shi, Zhe Wu, Zhipeng Mo, Dinglong Duan, Sai-Kit Yeung, Ping Tan
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we first survey and categorize existing methods using a photometric stereo taxonomy emphasizing on non-Lambertian and uncalibrated methods.  ...  Recent progress on photometric stereo extends the technique to deal with general materials and unknown illumination conditions.  ...  Acknowledgement This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). S.-K.  ... 
doi:10.1109/cvpr.2016.403 dblp:conf/cvpr/ShiWMDYT16 fatcat:vew2d2kltbcf3am62qz6pc353e

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

Boxin Shi, Zhipeng Mo, Zhe Wu, Dinglong Duan, Sai Kit Yeung, Ping Tan
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we first survey and categorize existing methods using a photometric stereo taxonomy emphasizing on non-Lambertian and uncalibrated methods.  ...  Recent progress on photometric stereo extends the technique to deal with general materials and unknown illumination conditions.  ...  Acknowledgement This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). S.-K.  ... 
doi:10.1109/tpami.2018.2799222 pmid:29993473 fatcat:oro4tiz5iffnre6xvlfcpmrjsq

Photometric Stereo via Expectation Maximization

Tai-Pang Wu, Chi-Keung Tang
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A dense set of input images is conveniently captured using a digital video camera while a handheld spotlight is being moved around the target object and a small mirror sphere.  ...  This paper presents a robust and automatic approach to photometric stereo, where the two main components, namely surface normals and visible surfaces, are respectively optimized by Expectation Maximization  ...  ACKNOWLEDGMENTS The authors would like to thank all of the anonymous reviewers for their thoughtful comments and constructive suggestions.  ... 
doi:10.1109/tpami.2009.15 pmid:20075477 fatcat:37thxl6gyrhune2fuu4azj3kt4

SweepNet: Wide-baseline Omnidirectional Depth Estimation [article]

Changhee Won, Jongbin Ryu, Jongwoo Lim
2019 arXiv   pre-print
In this paper, we propose a novel wide-baseline omnidirectional stereo algorithm which computes the dense depth estimate from the fisheye images using a deep convolutional neural network.  ...  Omnidirectional depth sensing has its advantage over the conventional stereo systems since it enables us to recognize the objects of interest in all directions without any blind regions.  ...  Using mirrors with a few cameras is popular in omnidirectional stereo systems [1] , [10] , [11] . Geyer et al. [12] and Schönbein et al.  ... 
arXiv:1902.10904v1 fatcat:73ikhhvghffklkyavbgmwdiivq

Photometric stereo for general isotropic reflectances by spherical linear interpolation

Si Li, Boxin Shi
2015 Optical Engineering: The Journal of SPIE  
We present a practical photometric stereo method that works with general isotropic reflectances.  ...  Unlike previous approaches that use special hardware setups or dense measurements, our method only requires dozens of random yet known lighting directions.  ...  Yasuyuki Matsushita and Prof. Katsushi Ikeuchi for insightful discussions in early stage of this work, and Dr. Neil Alldrin and Dr. Dan B. Goldman for sharing their codes for comparison.  ... 
doi:10.1117/1.oe.54.8.083104 fatcat:6k5u53bscbc7va3un7adlfi36m

3D High Dynamic Range dense visual SLAM and its application to real-time object re-lighting

Maxime Meilland, Christian Barat, Andrew Comport
2013 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)  
ACKNOWLEDGEMENTS The present work is funded by the French DGA Rapid project Fraudo on dense visual SLAM in real-time.  ...  In Figures 11(c ) and 11(d) a second augmented scene is presented. It contains four virtual objects: a teapot, a green sphere, a red sphere and a full reflective sphere.  ...  Whilst the present paper is formulated around using stereo and projective light RGB-D sensors, we also note highly relevant work in [26] which proposes a graph of spherical RGB-D key-frames which are  ... 
doi:10.1109/ismar.2013.6671774 dblp:conf/ismar/MeillandBC13 fatcat:d5ke4q6cofbe7nbcnytjcelq4m

A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth

Zheng Lu, Yu-Wing Tai, Fanbo Deng, Moshe Ben-Ezra, Michael S. Brown
2012 International Journal of Computer Vision  
This paper introduces a 3D imaging framework that combines high-resolution photometric stereo and lowresolution depth.  ...  The second is a method to improve the initial normal estimation by using all the available focal information for images obtained using a focal stacking technique.  ...  Both systems use four controllable lights and a mirrored sphere for light direction calibration. The photometric stereo technique in Woodham (1980) is used to obtain the surface normals.  ... 
doi:10.1007/s11263-012-0589-5 fatcat:yqt5vfciwbh6nnrkwqzf5vh6pa

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching [article]

Changhee Won, Jongbin Ryu, Jongwoo Lim
2019 arXiv   pre-print
In this paper, we propose a novel end-to-end deep neural network model for omnidirectional depth estimation from a wide-baseline multi-view stereo setup.  ...  swept through all candidate depths using the calibrated camera parameters.  ...  Supplementary Video We present the overview of the proposed OmniMVS and our datasets, and additional experiments on the real data. Please see the video at https://www.youtube.com/watch?v=6DKen2MQocQ.  ... 
arXiv:1908.06257v1 fatcat:vutpubwcpzfs5jsxs3sccfbcry

Practical 3D Reconstruction Based on Photometric Stereo [chapter]

George Vogiatzis, Carlos Hernández
2010 Studies in Computational Intelligence  
Photometric Stereo is a powerful image based 3d reconstruction technique that has recently been used to obtain very high quality reconstructions.  ...  Stereo method can be used to reconstruct moving objects such as cloth or human faces.  ...  Recently, [6] proposed a graph-cut based scheme for labelling shadows in photometric stereo with four or more images.  ... 
doi:10.1007/978-3-642-12848-6_12 fatcat:x4jr6xmjs5blbibpapc6uu3sa4

Real-World Visual Computing (Dagstuhl Seminar 13431)

Oliver Grau, Marcus A. Magnor, Olga Sorkine-Hornung, Christian Theobalt, Marc Herbstritt
2014 Dagstuhl Reports  
However, building realistic digital scene descriptions consisting of 3D geometry and object texture, surface reflectance characteristics and scene illumination, character motion and emotion is a highly  ...  The overall goal of the seminar is to form a lasting, interdisciplinary research community which jointly identifies and addresses the challenges in modeling from the real world and determines which research  ...  CNC milling and laser cutting to inexpensively create precisely designed faceted mirrors which enabled light field acquisition with a catadioptric setup.  ... 
doi:10.4230/dagrep.3.10.72 dblp:journals/dagstuhl-reports/GrauMST13 fatcat:erkmydoib5f7rezs6xgsauw4wm

An Open-Source System for Vision-Based Micro-Aerial Vehicle Mapping, Planning, and Flight in Cluttered Environments [article]

Helen Oleynikova, Christian Lanegger, Zachary Taylor, Michael Pantic, Alexander Millane, Roland Siegwart, Juan Nieto
2019 arXiv   pre-print
Our system focuses on dense mapping, safe local planning, and global trajectory generation, especially when using narrow field of view sensors in very cluttered environments.  ...  We focus our experiments on evaluating global planning, path smoothing, and local planning methods on real maps made on MAVs in realistic search and rescue and industrial inspection scenarios.  ...  , even on the on-board CPU, and using direct photometric error makes the method resistant to motion blur.  ... 
arXiv:1812.03892v2 fatcat:6coc57nhind4do2bcstz2oyx3e

A Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditions

Gianpaolo Palma, Marco Callieri, Matteo Dellepiane, Roberto Scopigno
2012 Computer graphics forum (Print)  
The final output is suitable to be used with a 3D model of the object to obtain accurate and photo-realistic renderings.  ...  of the specular components of the main materials of the object, by using a Phong model.  ...  Acknowledgments We thank Michael Goesele, Paolo Cignoni and Massimiliano Corsini for their useful advices and Francesco Banterle for the help with the renderings.  ... 
doi:10.1111/j.1467-8659.2012.03145.x fatcat:hjtn75i6yrcmnhe4nivgdwxvcq
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