Learned map prediction for enhanced mobile robot exploration
We demonstrate an autonomous ground robot capable of exploring unknown indoor
environments for reconstructing their 2D maps. This problem has been traditionally tackled …
environments for reconstructing their 2D maps. This problem has been traditionally tackled …
Digital restoration of cultural heritage with data-driven computing: A survey
Digitized methodologies in the recent era contribute to various fields of automation that used
to hold different interests and meanings of human life. Buildings with historical significance …
to hold different interests and meanings of human life. Buildings with historical significance …
Single image Façade segmentation and computational rephotography of House images using deep learning
Rephotography is the process of recapturing the photograph of a location from the same
perspective in which it was captured earlier. A rephotographed image is the best …
perspective in which it was captured earlier. A rephotographed image is the best …
Change detection based on unsupervised sparse representation for fundus image pair
Detecting changes is an important issue for ophthalmology to compare longitudinal fundus
images at different stages and obtain change regions. Illumination variations bring …
images at different stages and obtain change regions. Illumination variations bring …
Active camera relocalization from a single reference image without hand-eye calibration
This paper studies active relocalization of 6D camera pose from a single reference image, a
new and challenging problem in computer vision and robotics. Straightforward active …
new and challenging problem in computer vision and robotics. Straightforward active …
Change detection with absolute difference of multiscale deep features
R Huang, M Zhou, Q Zhao, Y Zou - Neurocomputing, 2020 - Elsevier
Most of the previous change detection methods are designed based on the difference of two
images. However, directly using intensity or the features to generate difference image may …
images. However, directly using intensity or the features to generate difference image may …
Heritage and repeat photography: techniques, management, applications, and publications
A Schaffland, G Heidemann - Heritage, 2022 - mdpi.com
Repeat photography, the process of locating the camera position of an old photo and taking
a new photo from this position, is utilized to protect our natural heritage, by measuring …
a new photo from this position, is utilized to protect our natural heritage, by measuring …
Cultural landscape visualization: The use of non-photorealistic 3D rendering as an analytical tool to convey change at statue of liberty national monument
A Ackerman, J Auwaerter, E Foulds, R Page… - Journal of cultural …, 2023 - Elsevier
Abstract 3D visualization of heritage sites allows for a deeper understanding of historical
context, and also serves as a powerful tool for preservation. The ability to visualize heritage …
context, and also serves as a powerful tool for preservation. The ability to visualize heritage …
[PDF][PDF] Active Recurrence of Lighting Condition for Fine-Grained Change Detection.
This paper addresses active lighting recurrence (ALR), a new problem that actively
relocalizes a light source to physically reproduce the lighting condition for a same scene …
relocalizes a light source to physically reproduce the lighting condition for a same scene …
An interactive web application for the creation, organization, and visualization of repeat photographs
A Schaffland, O Vornberger, G Heidemann - Proceedings of the 1st …, 2019 - dl.acm.org
Repeat photography describes the process of photographing the same scene from the same
camera position at different points in time. Goals are for example the detection and …
camera position at different points in time. Goals are for example the detection and …