Academic Articles & Research Papers

2009 IEEE Conference on Computer Vision and Pattern Recognition

Computer Vision – ECCV 2006

A review of computer vision–based structural health monitoring at local and global levels

Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...

Computer Vision

Computer Vision and Pattern Recognition: CVPR 92

A practical introduction to computer vision with OpenCV

Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively eas...

Evaluation of quantization error in computer vision

Due to the important role that digitization error plays in the field of computer vision, a careful analysis of its impact on the computational approaches used in the field is necessary. The authors develop the mathematical tools for the com...

Computer Vision – ECCV 2022 Workshops

Mastering OpenCV with Practical Computer Vision Projects

Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience ...

PAMPAS: real-valued graphical models for computer vision

Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...

Algorithms for image processing and computer vision

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in ...

Computer Vision: Models, Learning and Inference

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms....

Calibration and Orientation of Cameras in Computer Vision

One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...

Computer Vision in Healthcare Applications

The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...

Pattern Recognition and Computer Vision

Multimodal computer vision and machine learning for predictive monitoring of planar-flow casting of amorphous steel foils.

Image Motion Extraction of Structures Using Computer Vision Techniques: A Comparative Study

Vibrational measurements play an important role for structural health monitoring, e.g., modal extraction and damage diagnosis. Moreover, conditions of civil structures can be mostly assessed by displacement responses. However, installing di...

Soft–Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal

Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...

Adversarial Attack on Object Detection via Object Feature-Wise Attention and Perturbation Extraction

Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...

A human activity recognition method based on Vision Transformer

Abstract Human activity recognition has a wide range of applications in various fields, such as video surveillance, virtual reality and human–computer intelligent interaction. It has emerged as a significant research area in computer vision...