ROSSINI: Reconstructing 3D structure from single images: a perceptual reconstruction approach
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
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Publications
Tomal JH
(2022)
Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh.
in Journal of statistical theory and applications : JSTA
Kaygusuz N
(2021)
MDN-VO: Estimating Visual Odometry with Confidence
Mendez O
(2021)
Improving Robot Localisation by Ignoring Visual Distraction
| Description | ROSSINI has developed a test bed and protocols of large scale evaluation of monodepth algorithms. It has ran to international challenges using this data and code which have been released to the community. The project has also ran tutorials and developed state of the art approaches to depth estimation from single images. |
| Exploitation Route | The code and datasets have been released to the community and we have ran two challenges making use of them |
| Sectors | Aerospace, Defence and Marine,Creative Economy,Digital/Communication/Information Technologies (including Software),Transport |
| Description | Aston University |
| Organisation | Aston University |
| Department | Department of Psychology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborative research as part of ROSSINI project with Dr Andrew Schofield at Aston University |
| Collaborator Contribution | Collaborative, multidisciplinary research project |
| Impact | Not yet, ongoing |
| Start Year | 2019 |
| Description | Southampton University |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborative research as part of ROSSINI project with Prof Wendy Adams at Southampton University |
| Collaborator Contribution | Collaborative, multidisciplinary research project |
| Impact | Not yet, ongoing |
| Start Year | 2019 |
| Description | York University Canada |
| Organisation | York University Toronto |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Collaborative research as part of ROSSINI project with Prof James Elder at York University Canada |
| Collaborator Contribution | Direct input into program of research at both an advisory and technical level |
| Impact | Not yet, ongoing |
| Start Year | 2019 |
| Description | One Day BMVA Symposium: 3D worlds from 2D images in humans and machines. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | When humans view a photograph they perceive the 3D world that constructed the image. They can, for example, describe the depth relationships between objects, plan a route through the scene and imagine the scene from a different viewpoint. This process is automatic and compulsive. For example, even though humans possess size constancy they will readily misinterpret the size of a person in order to make sense of the rest of the scene as a 3D world. State of the art computer vision systems are now also very good at reconstructing 3D layout from 2D images (3D uplift) although, unlike humans, this is often restricted to specific domains or requires multiple views. This workshop will consider recent developments in 3D uplift as well as our current knowledge of scene understanding in human vision. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://britishmachinevisionassociation.github.io/meetings |