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- Abstract
In recent years, great progress has been made on the problem of 3D scene reconstruction using depth sensors. On a large scale, these reconstructions look impressive, but often many fine details are lacking due to limitations in the sensor resolution. In this paper we combine two well-known principles for recovery of 3D models, namely fusion of depth images with photometric stereo to enhance the details of the reconstructions. We derive a simple and transparent objective functional that takes both the observed intensity images and depth information into account. The experimental results show that many details are captured that are not present in the input depth images. Moreover, we provide a quantitative evaluation that confirms the... (More)
In recent years, great progress has been made on the problem of 3D scene reconstruction using depth sensors. On a large scale, these reconstructions look impressive, but often many fine details are lacking due to limitations in the sensor resolution. In this paper we combine two well-known principles for recovery of 3D models, namely fusion of depth images with photometric stereo to enhance the details of the reconstructions. We derive a simple and transparent objective functional that takes both the observed intensity images and depth information into account. The experimental results show that many details are captured that are not present in the input depth images. Moreover, we provide a quantitative evaluation that confirms the improvement of the resulting 3D reconstruction using a 3D printed model.
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- author
- Bylow, Erik LU ; Maier, Robert ; Kahl, Fredrik LU and Olsson, Carl LU
- organization
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
- series title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- editor
- Felsberg, Michael ; Forssén, Per-Erik ; Unger, Jonas and Sintorn, Ida-Maria
- volume
- 11482 LNCS
- pages
- 14 pages
- publisher
- Springer
- conference name
- 21st Scandinavian Conference on Image Analysis, SCIA 2019
- conference location
- Norrköping, Sweden
- conference dates
- 2019-06-11 - 2019-06-13
- external identifiers
-
- scopus:85066910346
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 9783030202040
- DOI
- 10.1007/978-3-030-20205-7_22
- language
- English
- LU publication?
- yes
- id
- 9e044f21-543f-49d4-a1fd-56113ea6ecd0
- date added to LUP
- 2019-06-24 12:09:12
- date last changed
- 2024-09-18 01:49:01
@inproceedings{9e044f21-543f-49d4-a1fd-56113ea6ecd0, abstract = {{<p>In recent years, great progress has been made on the problem of 3D scene reconstruction using depth sensors. On a large scale, these reconstructions look impressive, but often many fine details are lacking due to limitations in the sensor resolution. In this paper we combine two well-known principles for recovery of 3D models, namely fusion of depth images with photometric stereo to enhance the details of the reconstructions. We derive a simple and transparent objective functional that takes both the observed intensity images and depth information into account. The experimental results show that many details are captured that are not present in the input depth images. Moreover, we provide a quantitative evaluation that confirms the improvement of the resulting 3D reconstruction using a 3D printed model.</p>}}, author = {{Bylow, Erik and Maier, Robert and Kahl, Fredrik and Olsson, Carl}}, booktitle = {{Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings}}, editor = {{Felsberg, Michael and Forssén, Per-Erik and Unger, Jonas and Sintorn, Ida-Maria}}, isbn = {{9783030202040}}, issn = {{0302-9743}}, language = {{eng}}, pages = {{261--274}}, publisher = {{Springer}}, series = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}}, title = {{Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models}}, url = {{http://dx.doi.org/10.1007/978-3-030-20205-7_22}}, doi = {{10.1007/978-3-030-20205-7_22}}, volume = {{11482 LNCS}}, year = {{2019}}, }