Erik Bylow (Former)
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- 2019
-
Mark
Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models
2019) 21st Scandinavian Conference on Image Analysis, SCIA 2019 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11482 LNCS. p.261-274(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
A Non-convex Relaxation for Fixed-Rank Approximation
2018) 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 2018-January. p.1809-1817(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Optimization Methods for 3D Reconstruction : Depth Sensors, Distance Functions and Low-Rank Models
2018)(
- Thesis › Doctoral thesis (compilation)
- 2017
-
Mark
Robust Online 3D Reconstruction Combining a Depth Sensor and Sparse Feature Points
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Computational Methods for Reconstruction: Signed Distance Functions, Low Rank Models and Depth Sensors
2016)(
- Thesis › Licentiate thesis
-
Mark
Minimizing the Maximal Rank
2016) 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2014
-
Mark
Rank Minimization with Structured Data Patterns
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Robust Camera Tracking by Combining Color and Depth Measurements
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2013
-
Mark
Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
CopyMe3D: Scanning and Printing Persons in 3D
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding