Results 61 to 70 of about 188,468 (230)
A Comprehensive Real-World Photometric Stereo Dataset for Unsupervised Anomaly Detection
Unsupervised anomaly detection is a technology that trains a model to detect anomalies using only normal data. One of the main challenges of anomaly detection is detecting defects that are not visible or obscured by lighting conditions.
Junyong Jung +3 more
doaj +1 more source
Geometric Prior-Guided Self-Supervised Learning for Multi-View Stereo
Recently, self-supervised multi-view stereo (MVS) methods, which are dependent primarily on optimizing networks using photometric consistency, have made clear progress. However, the difference in lighting between different views and reflective objects in
Liman Liu +4 more
doaj +1 more source
Direct visual odometry algorithms assume that every frame from the camera has the same photometric characteristics. However, the cameras with auto exposure are widely used outdoors as the environment often changes. The vignetting also affects the pixel’s
Yinming Miao, Masahiro Yamaguchi
doaj +1 more source
Medieval Coins of Three Different Types and of Various States of Preservation
We have developed a device for digitizing coins using photometric stereo, which serves two purposes. For inventory it allows identifying a coin, which has been digitized before, and avoids mixing up similar coins.
Thomas Dunker +3 more
doaj +1 more source
Photometric Depth Super-Resolution
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A single-shot variational
Cremers, Daniel +4 more
core +3 more sources
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
Ascertaining the Ideality of Photometric Stereo Datasets under Unknown Lighting
The standard photometric stereo model makes several assumptions that are rarely verified in experimental datasets. In particular, the observed object should behave as a Lambertian reflector, and the light sources should be positioned at an infinite ...
Elisa Crabu +3 more
doaj +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Photometric reconstruction of a dynamic textured surface from just one color image acquisition
http://www.opticsinfobase.org/josaa/abstract.cfm?msid=85528 This article has been selected for inclusion in the Virtual Journal for Biomedical Optics (Vol. 3, Iss. 4)International audienceTextured surface analysis is essential for many applications.
Bringier, Benjamin +2 more
core +3 more sources
Photometric Stereo Super Resolution via Complex Surface Structure Estimation
Photometric stereo, which derives per-pixel surface normals from shading cues, faces challenges in capturing high-resolution (HR) images in linear response systems.
Han-Nyoung Lee, Hak Gu Kim
doaj +1 more source

