Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Scott Wehrwein"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec8a5ad3a9eb2b4c338834e4a739a417
https://doi.org/10.1109/wacv56688.2023.00383
https://doi.org/10.1109/wacv56688.2023.00383
Publikováno v:
IEEE transactions on visualization and computer graphics.
What can we learn about a scene by watching it for months or years? A video recorded over a long timespan will depict interesting phenomena at multiple timescales, but identifying and viewing them presents a challenge. The video is too long to watch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ace459b008c90b82be727294eb3c33
https://pubmed.ncbi.nlm.nih.gov/36166532
https://pubmed.ncbi.nlm.nih.gov/36166532
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:2495-2501
When observing the visual world, temporal phenomena are ubiquitous: people walk, cars drive, rivers flow, clouds drift, and shadows elongate. Some of these, like water splashing and cloud motion, occur over time intervals that are either too short or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1a8e5c4fb7c3099fe85b77a34c1469c
https://doi.org/10.1109/tvcg.2020.2993195
https://doi.org/10.1109/tvcg.2020.2993195
Autor:
Scott Wehrwein, Kyle Wilson
Publikováno v:
3DV
Bundle adjustment is the gold standard for refining solutions to geometric computer vision problems. This paper develops an uncertainty visualization technique for bundle adjustment solutions to Structure from Motion problems}.Propagating uncertainty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0b0c28637df4913598de57bc56f7bae
https://doi.org/10.1109/3dv50981.2020.00076
https://doi.org/10.1109/3dv50981.2020.00076
Autor:
Josh Myers-Dean, Scott Wehrwein
Publikováno v:
CVPR Workshops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1f63326317790be2e4589feea9352d4
https://doi.org/10.1109/cvprw50498.2020.00275
https://doi.org/10.1109/cvprw50498.2020.00275
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 38(4)
We present a method for computing ambient occlusion (AO) for a stack of images of a Lambertian scene from a fixed viewpoint. Ambient occlusion, a concept common in computer graphics, characterizes the local visibility at a point: it approximates how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4c6ed977ead1c89ee351829671da2e
https://pubmed.ncbi.nlm.nih.gov/26959670
https://pubmed.ncbi.nlm.nih.gov/26959670
Publikováno v:
3DV
Modeling the appearance of outdoor scenes from photo collections is challenging because of appearance variation, especially due to illumination. In this paper we present a simple and robust algorithm for estimating illumination properties-shadows and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b4df0bee4ad4635925f4ed56213e589
https://doi.org/10.1109/3dv.2015.58
https://doi.org/10.1109/3dv.2015.58
Autor:
Michael E. Gehm, Tariq Osman, Daniel J. Townsend, Esteban Vera, Adrian V. Mariano, Phillip K. Poon, Michael D. Stenner, Scott Wehrwein
Publikováno v:
Optics express. 20(19)
This paper presents the Static Computational Optical Undersampled Tracker (SCOUT), an architecture for compressive motion tracking systems. The architecture uses compressive sensing techniques to track moving targets at significantly higher resolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53e5522c57772f9f5fb1c4fdf9092283
https://pubmed.ncbi.nlm.nih.gov/23037240
https://pubmed.ncbi.nlm.nih.gov/23037240
Autor:
Esteban Vera, Phillip K. Poon, Michael E. Gehm, Daniel J. Townsend, Michael D. Stenner, Scott Wehrwein
Publikováno v:
SPIE Proceedings.
Traditional approaches to persistent surveillance generate prodigious amounts of data, stressing storage, communication, and analysis systems. As such, they are well suited for compressed sensing (CS) concepts. Existing demonstrations of compressive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b486065c679d247e2703be861afe8c
https://doi.org/10.1117/12.918878
https://doi.org/10.1117/12.918878