Academic Articles & Research Papers

Machine eye for defects: Machine learning-based solution to identify and characterize topological defects in textured images of nematic materials

Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...

Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition

Recognition of 3D shapes is a fundamental task in computer vision. In recent years, view-based deep learning has emerged as an effective approach for 3D shape recognition. Most existing view-based methods treat the views of an object as an ...

Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration

Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...

Hybrid Deep Learning Algorithms for Dog Breed Identification—A Comparative Analysis

Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...

Parallax attention stereo matching network based on the improved group-wise correlation stereo network

Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep...

Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images. We propose a modified object‐detection method for this t...

Automated harvesting by a dual-arm fruit harvesting robot

Abstract In this study, we propose a method to automate fruit harvesting with a fruit harvesting robot equipped with robotic arms. Given the future growth of the world population, food shortages are expected to accelerate. Since much of Jap...

Multiple view geometry in computer vision

Computer Vision and Graphics

Computer Vision

Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...

Computer vision applications in construction safety assurance

IEEE Workshop on Applications of Computer Vision

The following topics are discussed: computer vision; image processing; face recognition; robotics; navigation; visual surveillance; indexing; image restoration; human-computer interaction; and medical imaging...

A polyhedron representation for computer vision

My approach to computer vision is best characterized as inverse computer graphics. In computer graphics, the world is represented in sufficient detail so that the image forming process can be numerically simulated to generate synthetic tele...

Crowd Analysis Using Computer Vision Techniques

This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the ar...

Scale-Space Theory in Computer Vision

Computer Vision in Sports

Scale-Space Theories in Computer Vision

Computer vision in the interface

There are still obstacles to achieving general, robust, high-performance computer vision systems. The last decade, however, has seen significant progress in vision technologies for human-computer interaction....

Advances in Computer Vision

Attention mechanisms in computer vision: A survey

Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...