[ספר][B] Computer vision metrics: Survey, taxonomy, and analysis
S Krig - 2014 - library.oapen.org
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 …
feature description metrics, or how to describe, compute and design the macro-features and …
Obstacle detection and avoidance system based on monocular camera and size expansion algorithm for UAVs
One of the most challenging problems in the domain of autonomous aerial vehicles is the
designing of a robust real-time obstacle detection and avoidance system. This problem is …
designing of a robust real-time obstacle detection and avoidance system. This problem is …
Interest point detector and feature descriptor survey
S Krig, S Krig - Computer Vision Metrics: Textbook Edition, 2016 - Springer
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 …
image, and calculating a feature description from the pixel region surrounding the interest …
Mobile robot localization: Where we are and what are the challenges?
This article surveys recent developments in the area of mobile robot localization. The focus
is on indoor 3-D localization from vision and RGB-D data. We analyze three important …
is on indoor 3-D localization from vision and RGB-D data. We analyze three important …
[HTML][HTML] Optimizing appearance-based localization with catadioptric cameras: small-footprint models for real-time inference on edge devices
This paper considers the task of appearance-based localization: visual place recognition
from omnidirectional images obtained from catadioptric cameras. The focus is on designing …
from omnidirectional images obtained from catadioptric cameras. The focus is on designing …
High resolution video mosaicing with global alignment
Image composition (or mosaicing) has attracted a growing attention in recent years as one of
the main elements in video analysis and representation. In this paper we deal with the …
the main elements in video analysis and representation. In this paper we deal with the …
Ground truth data, content, metrics, and analysis
S Krig, S Krig - Computer Vision Metrics: Textbook Edition, 2016 - Springer
This chapter discusses several topics pertaining to ground truth data, the basis for computer
vision metric analysis. We look at examples to illustrate the importance of ground truth data …
vision metric analysis. We look at examples to illustrate the importance of ground truth data …
A high-performance FPGA-based image feature detector and matcher based on the FAST and BRIEF algorithms
Image feature detection and matching is a fundamental operation in image processing. As
the detected and matched features are used as input data for high-level computer vision …
the detected and matched features are used as input data for high-level computer vision …
Image pre-processing
S Krig, S Krig - Computer vision metrics: Textbook edition, 2016 - Springer
This chapter describes the methods used to prepare images for further analysis, including
interest point and feature extraction. Some of these methods are also useful for global and …
interest point and feature extraction. Some of these methods are also useful for global and …
Modeling spatial uncertainty of point features in feature-based RGB-D SLAM
This paper deals with the problem of modeling spatial uncertainty of point features in feature-
based RGB-D SLAM. Although the feature-based approach to SLAM is very popular, in the …
based RGB-D SLAM. Although the feature-based approach to SLAM is very popular, in the …