The need to reduce waste generation and resource extraction arising from the traditional
linear economy system is gaining the attention of scholars, organisations and governments …

This paper presents a method for extracting distinctive invariant features from images that
can be used to perform reliable matching between different views of an object or scene. The …

This paper describes a computational approach to edge detection. The success of the
approach depends on the definition of a comprehensive set of goals for the computation of …

We describe an approach to object and scene retrieval which searches for and localizes all
the occurrences of a user outlined object in a video. The object is represented by a set of …

A major impediment in rapidly deploying object detection models for instance detection is
the lack of large annotated datasets. For example, finding a large labeled dataset containing …

Accurate, precise and rapid acquisition of topographic data is fundamental to many sub-
disciplines of physical geography. Technological developments over the past few decades …

This work addresses the problem of estimating the 6D Pose of specific objects from a single
RGB-D image. We present a flexible approach that can deal with generic objects, both …

We propose a simple and straightforward way of creating powerful image representations
via cross-dimensional weighting and aggregation of deep convolutional neural network …

Industrial automation effectively reduces the human effort in various activities of the industry.
In many autonomous systems, object recognition plays a vital role. Thus, finding a solution …

Given a query image of an object, our objective is to retrieve all instances of that object in a
large (1M+) image database. We adopt the bag-of-visual-words architecture which has …