In recent years, tremendous progress has been made in surgical practice for example with
Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to …

Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In
order to accomplish this goal, it is important that synthetic elements are rendered and …

A large number of vision applications rely on matching keypoints across images. The last
decade featured an arms-race towards faster and more robust keypoints and association …

This paper introduces recent progress on techniques of object detection and pose tracking
with a monocular camera for augmented reality applications. To visually merge a virtual …

This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …

Many algorithms for computer vision rely on locating interest points, or keypoints in each
image, and calculating a feature description from the pixel region surrounding the interest …

In this paper, we present the ALIEN tracking method that exploits oversampling of local
invariant representations to build a robust object/context discriminative classifier. To this …

This paper proposes an automatic classification method based on machine learning in
contrast-enhanced ultrasonography (CEUS) of focal liver lesions using the contrast agent …

In this paper, we propose SPHORB, a new fast and robust binary feature detector and
descriptor for spherical panoramic images. In contrast to state-of-the-art spherical features …

Scott Krig Textbook Edition Survey, Taxonomy and Analysis of Computer Vision, Visual
Neuroscience, and Deep Learning Page 1 Computer Vision Metrics Scott Krig Textbook Edition …