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ChromaTag: A Colored Marker and Fast Detection Algorithm
[article]
2017
arXiv
pre-print
Preserved Fulltext
Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. Time is wasted on potential detections that will eventually be rejected as false positives. We introduce ChromaTag, a fiducial marker and detection algorithm designed to use opponent colors to limit and quickly reject initial false detections and grayscale for precise localization. Through experiments, we show that ChromaTag is significantly faster than current fiducial markers while achieving similar
arXiv:1708.02982v1
fatcat:znwj25souvh5jguzozzfqa6qim
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... r better detection accuracy. We also show how tag size and viewing direction effect detection accuracy. Our contribution is significant because fiducial markers are often used in real-time applications (e.g. marker assisted robot navigation) where heavy computation is required by other parts of the system.
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
[article]
2020
arXiv
pre-print
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Many real-world applications in augmented reality (AR), 3D mapping, and robotics require both fast and accurate estimation of camera poses and scales from multiple images captured by multiple cameras or a single moving camera. Achieving high speed and maintaining high accuracy in a pose-and-scale estimator are often conflicting goals. To simultaneously achieve both, we exploit a priori knowledge about the solution space. We present gDLS*, a generalized-camera-model pose-and-scale estimator that
arXiv:2004.02052v1
fatcat:qq5pcaapsjfwroouqwjq4w7ybu
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... utilizes rotation and scale priors. gDLS* allows an application to flexibly weigh the contribution of each prior, which is important since priors often come from noisy sensors. Compared to state-of-the-art generalized-pose-and-scale estimators (e.g., gDLS), our experiments on both synthetic and real data consistently demonstrate that gDLS* accelerates the estimation process and improves scale and pose accuracy.
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
[article]
2021
arXiv
pre-print
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Recent learning-based multi-view stereo (MVS) methods show excellent performance with dense cameras and small depth ranges. However, non-learning based approaches still outperform for scenes with large depth ranges and sparser wide-baseline views, in part due to their PatchMatch optimization over pixelwise estimates of depth, normals, and visibility. In this paper, we propose an end-to-end trainable PatchMatch-based MVS approach that combines advantages of trainable costs and regularizations
arXiv:2108.08943v1
fatcat:47vla23zoveifdaywzdokaxsoe
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... h pixelwise estimates. To overcome the challenge of the non-differentiable PatchMatch optimization that involves iterative sampling and hard decisions, we use reinforcement learning to minimize expected photometric cost and maximize likelihood of ground truth depth and normals. We incorporate normal estimation by using dilated patch kernels, and propose a recurrent cost regularization that applies beyond frontal plane-sweep algorithms to our pixelwise depth/normal estimates. We evaluate our method on widely used MVS benchmarks, ETH3D and Tanks and Temples (TnT), and compare to other state of the art learning based MVS models. On ETH3D, our method outperforms other recent learning-based approaches and performs comparably on advanced TnT.
Improved Structure from Motion Using Fiducial Marker Matching
[chapter]
2018
Lecture Notes in Computer Science
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In this paper, we present an incremental structure from motion (SfM) algorithm that significantly outperforms existing algorithms when fiducial markers are present in the scene, and that matches the performance of existing algorithms when no markers are present. Our algorithm uses markers to limit potential incorrect image matches, change the order in which images are added to the reconstruction, and enforce new bundle adjustment constraints. To validate our algorithm, we introduce a new
doi:10.1007/978-3-030-01219-9_17
fatcat:ehdlw4e2mzf5nfjry54e7vlscu
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... with 16 image collections of large indoor scenes with challenging characteristics (e.g., blank hallways, glass facades, brick walls) and with markers placed throughout. We show that our algorithm produces complete, accurate reconstructions on all 16 image collections, most of which cause other algorithms to fail. Further, by selectively masking fiducial markers, we show that the presence of even a small number of markers can improve the results of our algorithm.
Geometry-Informed Material Recognition
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Our goal is to recognize material categories using images and geometry information. In many applications, such as construction management, coarse geometry information is available. We investigate how 3D geometry (surface normals, camera intrinsic and extrinsic parameters) can be used with 2D features (texture and color) to improve material classification. We introduce a new dataset, GeoMat, which is the first to provide both image and geometry data in the form of: (i) training and testing
doi:10.1109/cvpr.2016.172
dblp:conf/cvpr/DeGolFH16
fatcat:4yvvqgkscbc3dokadnclvzl2ua
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... s that were extracted at different scales and perspectives from real world examples of each material category, and (ii) a large scale construction site scene that includes 160 images and over 800,000 hand labeled 3D points. Our results show that using 2D and 3D features both jointly and independently to model materials improves classification accuracy across multiple scales and viewing directions for both material patches and images of a large scale construction site scene.
Don't drop it!
2011
Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11
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Storyboards offer designers a way to illustrate a narrative. Their creation can be enabled by tools supporting sketching or widget collections. As designers often incorporate previous ideas, we contribute the notion of blending the reappropriation of artifacts and their design tradeoffs with storyboarding. We present PIC-UP, a storyboarding tool supporting reappropriation, and report on two studies-a long-term investigation with novices and interviews with experts. We discuss how it may support
doi:10.1145/1978942.1979171
dblp:conf/chi/WahidMDEH11
fatcat:wvablmw6mzhche2fgm3okhuwdm
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... design thinking, tailor to different expertise levels, facilitate reappropriation during storyboarding, and assist with communication.
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Many real-world applications in augmented reality (AR), 3D mapping, and robotics require both fast and accurate estimation of camera poses and scales from multiple images captured by multiple cameras or a single moving camera. Achieving high speed and maintaining high accuracy in a pose-and-scale estimator are often conflicting goals. To simultaneously achieve both, we exploit a priori knowledge about the solution space. We present gDLS*, a generalizedcamera-model pose-and-scale estimator that
doi:10.1109/cvpr42600.2020.00228
dblp:conf/cvpr/FragosoD020
fatcat:qawzmx63encn5hvsvqnrsy2r4u
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... tilizes rotation and scale priors. gDLS* allows an application to flexibly weigh the contribution of each prior, which is important since priors often come from noisy sensors. Compared to state-of-the-art generalized-pose-and-scale estimators (e.g. gDLS), our experiments on both synthetic and real data consistently demonstrate that gDLS* accelerates the estimation process and improves scale and pose accuracy.
Predicting Patient Volumes at Collegiate Football Games
2021
The Journal of Collegiate Emergency Medical Services
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The Ohio University game in 2012 was the first game played following the death of former longtime coach Joseph Paterno, with his successor Bill O'Brien serving as the new team coach. ...
doi:10.30542/jcems.2021.04.01.03
fatcat:xnfpjhwl7nb5rknxjswsadr2xe
Automatic grasp selection using a camera in a hand prosthesis
2016
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Grasp
DeepGrasping ImageNet HandCam
Key
0.0 %
11.8 %
20.0 %
Pinch
21.8 %
10.6 %
20.0 %
Power
47.0 %
47.5 %
20.0 %
Three Jaw Chuck
28.0 %
19.2 %
20.0 %
Tool
3.2 %
10.9 %
20.0 %
DeGol ...
doi:10.1109/embc.2016.7590732
pmid:28261002
pmcid:PMC5325038
fatcat:pbbxxnyr4rfele7wkfk5weomka
Page 51 of Journal of the American Pharmacists Association Vol. 8, Issue 1
[page]
1947
Journal of the American Pharmacists Association
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., Manhat- an DeGoler, Harvey, Kansas
City Kenball, John C., Lansing
MARYLAND
Sterling, tertown
Alonzo L., Ches-
MASSACHUSETTS Hackett, Joseph John, Bel-
mont Kelleher, J. ...
J., Palisades
Park Yakubik, Joseph, Ford
NEW MEXICO
Butier, James P., Clovis
Quisenberry, M. G., Albu- querque NEW YORK
Allar, S. Sanford, Mt. Ver- non
Cadman, M. ...
Comparative Economic Studies Referees
2019
Comparative Economic Studies
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Hopkins
Albert Hu
Sonya Huffman
Joseph Hughes
Christian Hutter
Thomas Hyclak
Roberto Iacono
Nicolae-Bogdan Ianc
Mansor Ibrahim
Tomohiko Inui
Małgorzata Iwanicz-
Drozdowska
Ichiro Iwasaki
Arun ...
Natacha Gilson
Blaise GNIMASSOUN
Christophe Godlewski
Stefan Goldbach
Manuela Goretti
Daryna Grechyna
Louise Grogan
Steve Loris Gui-Diby
Thorvaldur Gylfason
Volkan Hacioglu
Miroljub Hadzic
Degol ...
doi:10.1057/s41294-019-00088-x
fatcat:h44sqled65c35b2uqmf2aqd7uq
Page 19 of Geophysics Vol. 19, Issue 2
[page]
1954
Geophysics
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Partner, DeGol- yer & MacNaughton, 5625 Daniels Ave., Dallas, Texas
DEGOOD, R. ...
*DENN, WILLIAM JOSEPH, Computer, Geophysi- cal Service Inc., 5900 Lemmon Avenue, Dallas 9, Texas
DENNING, WAYNE H., Supervisor, United Geo- Physical Co., 474 Fresno St., Morro Bay, California
*DENNING, ...
Page 74 of Journal of Pharmaceutical Sciences Vol. 47, Issue 3
[page]
1958
Journal of Pharmaceutical Sciences
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Olney Ave., 20, DeF ey Wash DeForge, Robert (53), DeFur, Ronald (51), 203°/2 Van Haute, Ind DeGoler, James (55), 2215 N DeGomar, Emanuel E., Jr St. Petersburg, Fla DeGroff, Norman (52), 202 E. ...
., East Detroit,
DeCuir, Joseph (51), 2748 19, La
DeDominicis, more, Md
Dee, William H., i
Deeb, Alexander E N.Y
New Orleans
Amelia C. (36), 2621 E. ...
Page 453 of American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers Vol. 66, Issue 4
[page]
1940
American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers
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., Railway and Harbor Works, Santos Degol- lado No. 24, Mexico, D. F., Mexico.
SMOUSE, KENNETH JAMES (Jun. ’38), Junior Hydr. Engr., Water Resources Branch, U. S. ...
SNOW, MARTIN JOSEPH (Jun. °38), Office and Fieldman, City Water Dept., City Hall (Res., 968 Medio Rd.), Calif.
SNOWDEN, RUSSELL ELSTNER (Assoc. M. "18; M. ’22), Civ. and Cons. den, N. C. ...
Page 427 of American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers Vol. 65, Issue 4
[page]
1939
American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers
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SMYTH, RAPHAEL JOSEPH (M. ’21), Asst. Engr., "With Pres. of Borough of the Bronx, 1625 Undercliff Ave., New York, N. Y. ...
., Railway and Harbor Works, Santos Degol- lado No. 24, Mexico, D. F. Mexico.
SMOUSE, KENNETH JAMES (Jun. ’38), Junior Hydr. Engr., Water Resources Branch, U. S. Geological Survey, 606 Post Office e. ...
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