Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models
Paper i proceeding, 2019

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.


Erik Bylow

Lunds universitet

Robert Maier

Technische Universität München

Fredrik Kahl

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik

Carl Olsson

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik

Lunds universitet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 11482 LNCS 261-274
978-303020204-0 (ISBN)

21st Scandinavian Conference on Image Analysis, SCIA 2019
Norrköping, Sweden,



Datorseende och robotik (autonoma system)

Medicinsk bildbehandling



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