We developed a binarization approach to handle a large variety of images, from scanned flatbed images to images acquired by mobile phone cameras. The binarization is targeted at c...
In this paper, we propose a method for determining the vignetting function given only a single image. Our method is designed to handle both textured and untextured regions in orde...
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
In non-parametric image registration it is often not possible to work with the original resolution of the images due to high processing times and lack of memory. However, for some ...