If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo smooth apparent deformations. These deformations are locally well approximated by affine transforms of the image plane. In consequence the solid object recognition problem has often been led back to the computation of affine invariant image local features. Such invariant f...

Maximally Stable Extremal Regions (MSERs) have achieved great success in scene text detection. However, this low-level pixel operation inherently limits its capability for handling complex text information efficiently (e. g. connections between text or background components), leading to the difficulty in distinguishing texts from background components. In this paper, we propose a novel framewor...

<span>Tremendous number of f food images in the social media services can be exploited by using recognition for healthcare benefits and industry marketing. The main challenges are large variability appearance that often generates a highly diverse ambiguous descriptions local feature. Ironically, feature have triggered information loss visual dictionary constructions from hard assignment p...

In this project, we introduce an evaluation method for regions of interest detectors in images of general 3d-scenes addressing some issues of the framework by Mikolajczyk et al. (2005) and the extension to non-planar scenes by Fraundorfer and Bischof (2005). By generating more reliable ground truth and test images from detailed POV-Ray scenes, we were able to take the influence of discontinuiti...

In order to achieve a complete image description, we introduce no-feature-features (NF-features) representing object regions where regular interest point detectors do not detect features. As these regions are usually non-textured, stable re-localization in different images with conventional methods is not possible. Therefore, a technique is presented which re-localizes once-detected NF-features...

The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...