Type of Publication

Thesis

Date:

9 /

2014

Status

Published

Depth Estimation using Light-Field Cameras

Featured in:

MD Thesis

Authors:

João Custódio

Abstract

Plenoptic cameras or light field cameras are a recent type of imaging devices that are starting to regain some popularity. These cameras are able to acquire the plenoptic function (4D light field) and, consequently, able to output the depth of a scene, by making use of the redundancy created by the multi-view geometry, where a single 3D point is imaged several times. Despite the attention given in the literature to standard plenoptic cameras, like Lytro, due to their simplicity and lower price, we did our work based on results obtained from a multi-focus plenoptic camera (Raytrix, in our case), due to their quality and higher resolution images. In this master thesis, we present an automatic method to estimate the virtual depth of a scene. Since the capture is done using a multi-focus plenoptic camera, we are working with multi-view geometry and lens with different focal lengths, and we can use that to back trace the rays in order to obtain the depth. We start by finding salient points and their respective correspondences using a scaled SAD (sum of absolute differences) method. In order to perform the referred back trace, obtaining robust results, we developed a RANSAC-like method, which we call COMSAC (Complete Sample Consensus). It is an iterative method that back trace the ligth rays in order to estimate the depth, eliminating the outliers. Finally, and since the depth map obtained is sparse, we developed a way to make it dense, by random growing. Since we used a publicly available dataset from Raytrix, comparisons between our results and the manufacturers’ ones are also presented. A paper was also submitted to 3DV 2014 (International Conference on 3D Vision), a conference on three-dimensional vision.

Citation
João Custódio (2014), Depth Estimation using Light-Field Cameras. MD thesis (in Portuguese). University of Coimbra, 2014.

Related Content

Content type: Thesis Presentation

Link: here

Upload Date:2024-10-13T13:36

Researcher Coordinator, VIS TEAM Leader
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

Geometric implicit neural representations for signed distance functions

Authors: Luiz Schirmer, Tiago Novello, Vinícius da Silva, Guilherme Schardong, Daniel Perazzo, Hélio Lopes, Nuno Gonçalves, Luiz Velho
Featured in: Special Section on SIBGRAPI 2023 Tutorials

Towards Secure Biometric Solutions: Enhancing Facial Recognition while Protecting User Data

Authors: Jose Silva, Aniana Cruz, Bruno Sousa and Nuno Gonçalves
Featured in: 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2025

StylePuncher: encoding a hidden QR code into images

Authors: Farhad Shadmand, Luiz Schirmer and Nuno Gonçalves
Featured in: 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2025

suggested news

Announcement of (8) Research Grants
Best Paper Award @ICPRAM 2025
Nuno Gonçalves serves as jury member for PhD...

RECENT PROJECTS

FACING2 – Face Image Understanding
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
UniqueMark

Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra