Computational visual recognition concerns identifyingwhat is in an image, video, or other visual data, enabling applications such as measuring location, pose, size, activity, and identity as well as indexing for search by content. Recent progress in making economical sensors and improvements in network, storage, and computational power make visual recognition practical and relevant in almost al...

been growing significantly in Brazil in recent years. This research is characterized by applying pattern recognition techniques in digital images. Furthermore, the study of cognitive methods, biological, physical and statistical processes has been generating solutions for important problems in several areas, going from industrial inspection systems to autonomous surgery. The main goal for the W...

Optimal transport is a long-standing theory that has been studied in depth from both theoretical and numerical point of views. Starting the 50s this also found lot applications operational research. Over last 30 years it spread to computer vision graphics now becoming hard ignore. Still, its mathematical complexity can make difficult comprehend, as such, researchers may find follow recent devel...

This thesis is concerned with developing a two-dimensional (2D) ultrasound speckle tracking technique to quantify 2D axial and lateral strain fields for studying tissue dynamics. Knowledge of tissue displacement to infer strain characteristics is of major clinical importance. In part, this is due to the lack of simple and accurate non-invasive techniques to measure in vivo strain. The establish...

when a person gets lost, he uses all his senses to acquire his location and the way back to the last identified location. But what about the robots, how do they come to know their location, the source and destination. Here comes the concept of Computer Vision into the picture. The scope of this paper concerns both the developments in the field of computer vision and applications related to comp...

We have developed EEG-based BCI systems which couple human vision and computer vision for speeding the search of large images and image/video databases. We term these types of BCI systems “cortically-coupled computer vision” (C3Vision). C3Vision exploits (1) the ability of the human visual system to get the “gist” of a scene with brief (10’s–100’s of ms) and rapid serial (10 Hz) image presentat...

Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to capture human knowledge and understanding, for a vast number of visual perception tasks. In this survey, we describe the types of annotations computer vision researchers have collected using crowdsourcing, and how they hav...

In this exercise you will first familiarise yourself with basic image filtering routines. In the second part, you will develop a simple image querying system which accepts a query image as input and then finds a set of similar images in the database. In order to compare images you will implement several distance functions introduced in the lecture and evaluate their performance in combination w...

Give finite difference operators that could be applied to 1-dimensional discrete data (such as a row of pixels) in order to approximate the 1st and 2nd derivatives, d dx and d 2 dx . How would your finite difference operators actually be applied to the row of pixels? What is the benefit of using a 2nd finite difference (or derivative) instead of a 1st finite difference (or derivative) for purpo...

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