We propose to use binary strings as an efficient feature point descriptor, which we call
BRIEF. We show that it is highly discriminative even when using relatively few bits and can …

Binary descriptors are becoming increasingly popular as a means to compare feature points
very fast while requiring comparatively small amounts of memory. The typical approach to …

The efficient detection of interesting features is a crucial step for various tasks in Computer
Vision. Corners are favored cues due to their two dimensional constraint and fast algorithms …

Applications for real-time visual tracking can be found in many areas, including visual
odometry and augmented reality. Interest point detection and feature description form the …

The efficiency, robustness and distinctiveness of a feature descriptor are critical to the user
experience and scalability of a mobile Augmented Reality (AR) system. However, existing …

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 …

We present a method that unifies tracking and video content recognition with applications to
Mobile Augmented Reality (MAR). We introduce the Radial Gradient Transform (RGT) and …

We propose Compact And Real-time Descriptors (CARD) which can be computed very
rapidly and be expressed by short binary codes. An efficient algorithm based on lookup …

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 …