scholarly journals Robust Computer Vision Chess Analysis and Interaction with a Humanoid Robot

Computers ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 14 ◽  
Author(s):  
Andrew Chen ◽  
Kevin Wang
Keyword(s):  
Computer Vision ◽  
Real World ◽  
Humanoid Robot ◽  
Sensory Input ◽  
Extreme Environments ◽  
Chess Player ◽  
Dynamic Approach ◽  
Perspective Distortion ◽  
Occupancy Detection ◽  
Vision Algorithm

As we move towards improving the skill of computers to play games like chess against humans, the ability to accurately perceive real-world game boards and game states remains a challenge in many cases, hindering the development of game-playing robots. In this paper, we present a computer vision algorithm developed as part of a chess robot project that detects the chess board, squares, and piece positions in relatively unconstrained environments. Dynamically responding to lighting changes in the environment, accounting for perspective distortion, and using accurate detection methodologies results in a simple but robust algorithm that succeeds 100% of the time in standard environments, and 80% of the time in extreme environments with external lighting. The key contributions of this paper are a dynamic approach to the Hough line transform, and a hybrid edge and morphology-based approach for object/occupancy detection, that enable the development of a robot chess player that relies solely on the camera for sensory input.

scholarly journals Review: Development and Technical Design of Tangible User Interfaces in Wide-Field Areas of Application

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4258
Author(s):  
Alice Krestanova ◽  
Martin Cerny ◽  
Martin Augustynek
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
User Interfaces ◽  
Real World ◽  
Wide Field ◽  
Graphic User Interface ◽  
Tangible User Interfaces ◽  
3D Objects ◽  
Vision Algorithm ◽  
Technical Solutions

A tangible user interface or TUI connects physical objects and digital interfaces. It is more interactive and interesting for users than a classic graphic user interface. This article presents a descriptive overview of TUI’s real-world applications sorted into ten main application areas—teaching of traditional subjects, medicine and psychology, programming, database development, music and arts, modeling of 3D objects, modeling in architecture, literature and storytelling, adjustable TUI solutions, and commercial TUI smart toys. The paper focuses on TUI’s technical solutions and a description of technical constructions that influences the applicability of TUIs in the real world. Based on the review, the technical concept was divided into two main approaches: the sensory technical concept and technology based on a computer vision algorithm. The sensory technical concept is processed to use wireless technology, sensors, and feedback possibilities in TUI applications. The image processing approach is processed to a marker and markerless approach for object recognition, the use of cameras, and the use of computer vision platforms for TUI applications.

scholarly journals Deep learning-enabled medical computer vision

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Andre Esteva ◽  
Katherine Chou ◽  
Serena Yeung ◽  
Nikhil Naik ◽  
Ali Madani ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Medical Imaging ◽  
Real World ◽  
Recent Progress ◽  
Medical Applications ◽  
Modern Computer ◽  
Medical Computer

AbstractA decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications, focusing on medical imaging, medical video, and clinical deployment. We start by briefly summarizing a decade of progress in convolutional neural networks, including the vision tasks they enable, in the context of healthcare. Next, we discuss several example medical imaging applications that stand to benefit—including cardiology, pathology, dermatology, ophthalmology–and propose new avenues for continued work. We then expand into general medical video, highlighting ways in which clinical workflows can integrate computer vision to enhance care. Finally, we discuss the challenges and hurdles required for real-world clinical deployment of these technologies.

Measurement of cemented carbide-PCD microdrill geometry error based on Computer Vision algorithm

Measurement ◽  
2021 ◽  
pp. 110186
Author(s):  
Siti Nurfadilah Binti Jaini ◽  
Deug-Woo Lee ◽  
Kang-Seok Kim ◽  
Seung-Jun Lee
Keyword(s):  
Computer Vision ◽  
Cemented Carbide ◽  
Vision Algorithm ◽  
Geometry Error

Computer vision algorithm for identifying the post-irradiated nuclear fuel in a hotcell

2021 ◽  
Author(s):  
Helmi Fauzi R. ◽  
Prawito Prajitno ◽  
Sungkono ◽  
Refa Artika
Keyword(s):  
Computer Vision ◽  
Nuclear Fuel ◽  
Vision Algorithm ◽  
Irradiated Nuclear Fuel

Image Based 3D Modeling and Rendering from Single View Perspective Images

2013 ◽  
pp. 604-620
Author(s):  
S. Mohan ◽  
S. Murali
Keyword(s):  
Computer Vision ◽  
3D Modeling ◽  
Real World ◽  
3D Models ◽  
Edge Length ◽  
Geometric Information ◽  
Single View ◽  
Perspective Image ◽  
Cad Cam ◽  
Cam Software

In computer vision, 3D modeling refers to the process of developing 3D representation of the real world objects with systematic procedure. The 3D models can be built based on geometric information about the object or scene to be modeled using CAD/CAM software. However, this approach needs prior knowledge of the objects in the scene like dimension, size of objects, distance from the object to camera, et cetera. To make the 3D models more photo realistic and convenient, images of the objects can be used to build the 3D models. In this chapter, the authors propose a method to extract 3D model from single view perspective image. The approach is based on edge length and exploiting symmetric objects in the scene. Later, an application of touring into picture is discussed with the proposed method.

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