Welcome to the Visual Computing Laboratory (VCL)
The Visual Computing Laboratory is a lab and research environment hosted by the Computer Graphics and Image Processing group in the division of Media and Information Technology at Linköping University. The laboratory is located in Norrköping, Sweden, and is co-located with Norrköping Visualization Centre C.
VCL hosts a range of projects directed towards research and development of theory and methodology for image capture, image analysis and image synthesis. Current focus areas are High Dynamic Range (HDR) Video, temporally and spatially varying Image Based Lighting , color signal processing and data driven estimation and modeling of scene features such as geometry, materials and HDR lighting environments for the purpose of photo-realistic rendering.
Read more about our current research projects.
- Two research overview presentations at SIGRAD 201623.05.2016:
We have two presentations at SIGRAD 2016 in Visby, Sweden.
Ehsan Miandji will give an overview of our work in sparse basis representations for image and light field reconstruction and compressive signal reconstruction. Focus will be put on the EG 2015 paper Compressive Image Reconstruction in Reduced Union of Subspaces by Ehsan Miandji, Joel Kronander, and Jonas Unger.
Gabriel Eilertsen will give an overview of our projects in high dynamic range (HDR) video, tone mapping of HDR video, and our recent SIGGRAPH Asia 2015 paper: Real-time noise-aware tone mapping by Gabriel Eilertsen, Rafal K. Mantiuk, and Jonas Unger.
- Paper accepted to CVPR workshop on Computational Cameras and Displays 201617.05.2016: Our paper Time-offset Converstaions on a Life-Sized Automultiscopic Projector Array by Andrew Jones, Jonas Unger, Koki Nagano, Jay Busch, Xueming Yu, Hsuan-Yueh Peng, Joseph Barreto, Oleg Alexander, Mark Bolas, and Paul Debevec has been accepted for publication at the CVPR workshop Computational Cameras and Displays 2016. The project was carried out in collaboration with Institute for Creative Technologies at University of Southern California. Read more about the project here.
- Two talks accepted to SIGGRAPH 201602.05.2016: Two talks have been accepted to SIGRAPH 2016 in Anaheim. The first talk: Differential apperance editing of measured BRDFs, by Apostilia Tsirikoglou, Joel Kronander, Per Larsson, Tanaboon Tongbuasirilai, Andrew Gardner, and Jonas Unger, describes a method for intuitive editing of measured BRDFs. The second talk: Luma HDRv: an open source high dynamic range video codec optimized by large scale testing, by Gabriel Eilertsen, Rafal K. Mantiuk, and Jonas Unger describes the design choices and implementation of our recently released open source HDR video codec Luma HDRv.
- Funding from Norrköpings fond för forskning och utveckling02.05.2016: Norrköpings fond för forskning och utveckling will fund our new project Digitala verktyg för en levande historia, which will develop new algorithms and tools for appearance capture and modelling. The project will run 2016 - 2017 and is a collaboration with NVAB, Norrköpings Stadsmuseum, Livrustkammaren, Skokloster and Hallwylska museet.
- New book on HDR-video16.04.2016:
Our new book High Dynamic Range Video - From acquisition to display and applications is now out. The computer graphics and image processing group has contributed with two chapters. Chapter 2: Unified reconstruction of Raw HDR Video Data, Jonas Unger, Joel Kronander and Saghi Hajisharif. Chapter 7: Evaluation of Tone Mapping Operators for HDR-video, Gabriel Eilertsen, Rafał Mantiuk, and Jonas Unger.
- Eurographics 2016 tutorial on High Dynamic Range Video14.03.2016:
Our Eurographics 2016 tutorial "The HDR-video pipeline", by Jonas Unger, Francesco Banterle, Gabriel Eilertsen and Rafal Mantiuk has been accepted.
Abstract: High dynamic range (HDR) video technology has gone through remarkable developments over the last few years; HDR-video cameras are being commercialized, new algorithms for color grading and tone mapping specifically designed for HDR-video have recently been proposed, and the first open source compression algorithms for HDR- video are becoming available. HDR-video represents a paradigm shift in imaging and computer graphics, which has and will continue to generate a range of both new research challenges and applications. This intermediate- level tutorial will give an in-depth overview of the full HDR-video pipeline present several examples of state-of- the-art algorithms and technology in HDR-video capture, tone mapping, compression and specific applications in computer graphics.
- Our paper on Adaptive dualISO HDR-reconstruction has been published