Content‐based image retrieval (CBIR) systems require users to query images by their low‐
level visual content; this not only makes it hard for users to formulate queries, but also can …

We have presented a new problem--the wide multiple baseline stereo (WxBS)--which
considers matching of images that simultaneously differ in more than one image acquisition …

We present a novel visual place recognition method designed for operation in challenging
conditions such as encountered in day to night or winter to summer matching. The proposed …

This paper presents a multimodal latent topic analysis method for the construction of image
collection summaries. The method automatically selects a set of prototypical images from a …

In this paper, we illustrate how to learn a general straightforward similarity function from raw
image pairs, which is a fundamental task in computer vision. To encode the function …

In this paper we present an algorithm for creating and searching large image databases.
Effective browsing and searching such collections of images based on their content is one of …

(57) ABSTRACT A system for performing global scale object detection using satellite
imagery, comprising an object detection server that receives and analyzes image data to …

The ability to handle very large amounts of image data is important for image analysis,
indexing and retrieval applications. Sadly, in the literature, scalability aspects are often …

Logo localization and recognition is difficult in natural images due to perspective
deformations, varying background, possible occlusions, scaling variability; furthermore, the …

Computer vision relies on image features describing points, edges, objects or colour. The
book concerns solely so-called hand-made features contrary to learned features which exist …