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Erik Bylow
Erik Bylow
Qualcomm
Verified email at volumental.com
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Cited by
Cited by
Year
Real-time camera tracking and 3D reconstruction using signed distance functions
E Bylow, J Sturm, C Kerl, F Kahl, D Cremers
Robotics: Science and systems (RSS) conference 2013, 2013
2632013
CopyMe3D: Scanning and printing persons in 3D
J Sturm, E Bylow, F Kahl, D Cremers
German Conference on Pattern Recognition, 405-414, 2013
872013
Dense tracking and mapping with a quadrocopter
J Sturm, E Bylow, C Kerl, F Kahl, D Cremers
342013
Rank minimization with structured data patterns
V Larsson, C Olsson, E Bylow, F Kahl
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
332014
Combining depth fusion and photometric stereo for fine-detailed 3d models
E Bylow, R Maier, F Kahl, C Olsson
Scandinavian Conference on Image Analysis, 261-274, 2019
222019
Primitect: Fast continuous hough voting for primitive detection
C Sommer, Y Sun, E Bylow, D Cremers
2020 IEEE International Conference on Robotics and Automation (ICRA), 8404-8410, 2020
172020
Robust camera tracking by combining color and depth measurements
E Bylow, C Olsson, F Kahl
2014 22nd International Conference on Pattern Recognition, 4038-4043, 2014
172014
Robust online 3D reconstruction combining a depth sensor and sparse feature points
E Bylow, C Olsson, F Kahl
2016 23rd International Conference on Pattern Recognition (ICPR), 3709-3714, 2016
92016
Direct camera pose tracking and mapping with signed distance functions
E Bylow, J Sturm, C Kerl, F Kahl, D Cremers
RGB-D workshop on advanced reasoning with depth cameras (RGB-D 2013), 2013
82013
A non-convex relaxation for fixed-rank approximation
C Olsson, M Carlsson, E Bylow
Proceedings of the IEEE International Conference on Computer Vision …, 2017
52017
Minimizing the maximal rank
E Bylow, C Olsson, F Kahl, M Nilsson
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
12016
Optimization Methods for 3D Reconstruction: Depth Sensors, Distance Functions and Low-Rank Models
E Bylow
2018
Computational Methods for Reconstruction: Signed Distance Functions, Low Rank Models and Depth Sensors
E Bylow
2016
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Articles 1–13