# Computer Vision and Computational Optical Imaging
# Computer Vision and Computational Optical Imaging
Computer vision is one the core research fields of the Image section at DTU Compute. We aim to develop fundamental methods that allow for fast, accurate, and precise detections and measurments of the real world. Our area of focus spans all of object geometry, optical properties, lighting environments, as well as sub-resolution micro-geometry. Our porpose is to be able to record the full digital twin of a natural scene by taking into account the interactions between light and material. Our highlights include [3D scanning](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-3d-scanning), [Acquisition of surface BRDFs](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-acquisition-of-surface-brdfs), and [Seeing transparency](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-seeing-transparency).
Computer vision is one the core research fields of the Visual Computing section at DTU Compute. We aim to develop fundamental methods that allow for fast and accurate detections and measurments of the real world. Our focus area spans all of object geometry, optical properties, lighting environments, as well as sub-resolution micro-geometry. We want to be able to record the full digital twin of a natural scene by taking into account the interactions between light and material. Our highlights include [3D scanning](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-3d-scanning), [Acquisition of surface BRDFs](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-acquisition-of-surface-brdfs), and [Seeing transparency](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/comp_vis.md#highlight-seeing-transparency).
## Highlight: 3D scanning
## Highlight: 3D scanning
Low-cost sensors such as Microsoft Kinect and time of flight cameras have made the 3D sensor ubiquitous and have resulted in a vast amount of new applications and methods. However, such low-cost sensors are generally limited in their accuracy and precision, making them unsuitable for e.g. accurate tracking and pose estimation. With recent improvements in projector technology, increased processing power, and methodology, it is possible to perform faster and more reliable structured light scans. This offers new opportunities for studying dynamic scenes, quality control, human-computer interaction and more.
Low-cost sensors such as Microsoft Kinect and time of flight cameras have made the 3D sensor ubiquitous and have resulted in a vast amount of new applications and methods. However, such low-cost sensors are generally limited in their accuracy and precision, making them unsuitable for problems such as precise tracking and pose estimation. With recent improvements in projector technology, increased processing power, and new method developments with central contributions from our research group, it is now possible to perform faster and highly accurate structured light scans. This offers new opportunities for studying dynamic scenes, quality control, human-computer interaction and more.
