Learn More
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious construction process , which has led the community to focus on more easily constructed but less powerful models.(More)
Reconstructing a person's face from its skeletal remains is a task that has over many decades fascinated artist and scientist alike. In this paper we treat facial reconstruction as a machine learning problem. We use separate statistical shape models to represent the skull and face morphology. We learn the relationship between the parameters of the models by(More)
PURPOSE In image-guided radiation therapy an additional kV imaging system next to the linear particle accelerator provides information for an accurate patient positioning. However, the acquisition time of the system is much longer than the patient's breathing cycle due to the low gantry rotation speed. Our purpose is a cyclic registration in the context of(More)
The registration of 3D scans of faces is a key step for many applications, in particular for building 3D Mor-phable Models. Although a number of algorithms are already available for registering data with neutral expression , the registration of scans with arbitrary expressions is typically performed under the assumption of a known, fixed identity. We(More)
We propose a novel model-free pose estimation algorithm to estimate the relative pose of a rigid object. In most pose estimation algorithms, the object of interest covers a large portion of the image. We focus on pose estimation of small objects covering a field of view of less than 5 • by 5 • using stereo vision. With this new algorithm suitable for small(More)
Generative 3D Face Models are expressive models with applications in modelling and editing. They are learned from example faces, and offer a compact representation of the continuous space of faces. While they have proven to be useful as strong priors in face reconstruction they remain to be difficult to use in artistic editing tasks. We describe a way to(More)
Obtaining photorealistic scans of human faces is both challenging and expensive. Capturing the high-frequency components of skin surface structure requires the face to be scanned at very high resolutions, outside the range of most structured light 3D scanners. We present a novel and simple enhancement to the acquisition process, requiring only four(More)
PURPOSE In image-guided radiation therapy (IGRT) valuable information for patient positioning, dose verification, and adaptive treatment planning is provided by an additional kV imaging unit. However, due to the limited gantry rotation speed during treatment the typical acquisition time is quite long. Tomographic images of the thorax suffer from motion(More)
PURPOSE To improve CBCT image quality for image-guided radiotherapy by applying advanced reconstruction algorithms to overcome scatter, noise, and artifact limitations METHODS: CBCT is used extensively for patient setup in radiotherapy. However, image quality generally falls short of diagnostic CT, limiting soft-tissue based positioning and potential(More)