The ability to recognize a product on the shelf of a retail store is an ordinary human skill. The
same recognition problem presents an exceptional challenge for machine vision systems …

Finding robust and correct keypoints in images remains a challenge, especially when
repetitive patterns are present. In this article, we propose a universal two-step filtering …

Fine-grained grocery product recognition via camera is a challenging task to identify the
visually similar products with subtle differences by using single-shot training examples. To …

Motivated by product detection in supermarkets, this paper studies the problem of object
proposal generation in supermarket images and other natural images. We argue that …

Abstract Near-Periodic Patterns (NPP) are ubiquitous in man-made scenes and are
composed of tiled motifs with appearance differences caused by lighting, defects, or design …

In image and video data, visual pattern refers to re‐occurring composition of visual
primitives. Such visual patterns extract the essence of the image and video data that convey …

We propose a new approach for detecting repeated patterns on a grid in a single image. To
do so, we detect repetitions in the space of pre-trained deep CNN filter responses at all layer …

Textures made of regular repeating patterns are ubiquitous in the real world, most notably in
man-made environments. They are defined by the presence of a repeating element, which …

Graphical animation is a way of visualizing the behavior of design models. This visualization
is of use in validating a design model against informally specified requirements and in …

Abstract Structure from motion (SfM) is a common technique to recover 3D geometry and
camera poses from sets of images of a common scene. In many urban environments …