Results 191 to 200 of about 188,468 (230)

Accurate Normal Measurement of Non-Lambertian Complex Surface Based on Photometric Stereo

IEEE Transactions on Instrumentation and Measurement, 2023
Photometric stereo network is a popular method for recovering the 3-D surface of objects. Existing methods, both pixel- or spatial-based, often show poor performance in predicting surface normal in regions with sharp changes in concavity and convexity ...
Yuze Yang, Jiahang Liu, Yue Ni, Cihan Li, Zihan Wang   +4 more
semanticscholar   +1 more source

Surface normal estimation from optimized and distributed light sources using DNN-based photometric stereo

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023
Photometric stereo (PS) is a major technique to recover surface normal for each pixel. However, since it assumes Lambertian surface and directional light to estimate the value, a large number of images are usually required to avoid the effects of ...
Takafumi Iwaguchi, Hiroshi Kawasaki
semanticscholar   +1 more source

Evaluation of photometric stereo and elastomeric sensor imaging for the non-destructive 3D analysis of questioned documents - A pilot study.

Science & justice : journal of the Forensic Science Society, 2023
Photometric Stereo and Elastomeric Sensor Imaging were assessed for measuring the 3-dimensional (3D) morphology of questioned document samples. Photometric stereo is shown to be a powerful non-contact technique for revealing micron level detail of the ...
J. Gould, S. Clement, Bradley Crouch, Roberto King   +3 more
semanticscholar   +1 more source

Underwater Surface Normal Reconstruction via Cross-Grained Photometric Stereo Transformer

IEEE Journal of Oceanic Engineering
Modern ocean research necessitates high-precision 3-D underwater data acquisition. Photometric stereo is a critical technique for recovering high-resolution, dense surface normals of textureless objects, such as the seabed and underwater pipelines.
Yakun Ju, Ling Li, Xian Zhong, Y. Rao, Yanru Liu, Junyu Dong, A. Kot   +6 more
semanticscholar   +1 more source

Revisiting One-Stage Deep Uncalibrated Photometric Stereo via Fourier Embedding

IEEE Transactions on Pattern Analysis and Machine Intelligence
This paper introduces a one-stage deep uncalibrated photometric stereo (UPS) network, namely Fourier Uncalibrated Photometric Stereo Network (FUPS-Net), for non-Lambertian objects under unknown light directions.
Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang, A.C. Kot   +5 more
semanticscholar   +1 more source

Estimating High-Resolution Surface Normals via Low-Resolution Photometric Stereo Images

IEEE transactions on circuits and systems for video technology (Print)
Acquiring high-resolution 3D surface structures is a crucial task in computer vision as it provides more detailed surface textures and clearer structures. Photometric stereo can measure per-pixel surface normals of a 3D object using various shading cues.
Yakun Ju, Muwei Jian, Cong Wang, Cong Zhang, Junyu Dong, K. Lam   +5 more
semanticscholar   +1 more source

DiLiGenT102: A Photometric Stereo Benchmark Dataset with Controlled Shape and Material Variation

Computer Vision and Pattern Recognition, 2022
Evaluating photometric stereo using real-world dataset is important yet difficult. Existing datasets are insufficient due to their limited scale and random distributions in shape and material.
Jieji Ren, Fei-Zhang Wang, Jiahao Zhang, Qian Zheng, M. Ren, Boxin Shi   +5 more
semanticscholar   +1 more source

GelRoller: A Rolling Vision-based Tactile Sensor for Large Surface Reconstruction Using Self-Supervised Photometric Stereo Method

IEEE International Conference on Robotics and Automation
Accurate perception of the surrounding environment stands as a primary objective for robots. Through tactile interaction, vision-based tactile sensors provide the capability to capture high-resolution and multi-modal surface information of objects ...
Zhiyuan Zhang, Huan Ma, Yulin Zhou, Jingjing Ji, Hua Yang   +4 more
semanticscholar   +1 more source

Task-Specific Near-Field Photometric Stereo for Measuring Metal Surface Texture

IEEE Transactions on Industrial Informatics
Surface texture measurement helps control the quality of large workpieces produced by machine systems. Current optical measurement methods, e.g., fringe projection profilometry and coherent scanning interferometry, are difficult to perform full-field ...
Zhenxiong Jian, Xi Wang, Xinquan Zhang, Rong Su, Mingjun Ren, Limin Zhu   +5 more
semanticscholar   +1 more source

PRM: Photometric Stereo based Large Reconstruction Model

arXiv.org
We propose PRM, a novel photometric stereo based large reconstruction model to reconstruct high-quality meshes with fine-grained local details. Unlike previous large reconstruction models that prepare images under fixed and simple lighting as both input ...
Wenhang Ge, Jiantao Lin, Guibao Shen, Jiawei Feng, Tao Hu, Xinli Xu, Ying-Cong Chen   +6 more
semanticscholar   +1 more source