scholarly journals Bayesian Edge Detector Using Deformable Directivity-Aware Sampling Window

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1080
Author(s):  
Ren-Jie Huang ◽  
Jung-Hua Wang ◽  
Chun-Shun Tseng ◽  
Zhe-Wei Tu ◽  
Kai-Chun Chiang
Keyword(s):  
Vision System ◽  
Principal Direction ◽  
Edge Detector ◽  
Pixel Intensity ◽  
Edge Detectors ◽  
Gestalt Grouping ◽  
Sampling Window ◽  
Research Questions ◽  
New Research ◽  
Human Eyes

Conventional image entropy merely involves the overall pixel intensity statistics which cannot respond to intensity patterns over spatial domain. However, spatial distribution of pixel intensity is definitely crucial to any biological or computer vision system, and that is why gestalt grouping rules involve using features of both aspects. Recently, the increasing integration of knowledge from gestalt research into visualization-related techniques has fundamentally altered both fields, offering not only new research questions, but also new ways of solving existing issues. This paper presents a Bayesian edge detector called GestEdge, which is effective in detecting gestalt edges, especially useful for forming object boundaries as perceived by human eyes. GestEdge is characterized by employing a directivity-aware sampling window or mask that iteratively deforms to probe or explore the existence of principal direction of sampling pixels; when convergence is reached, the window covers pixels best representing the directivity in compliance with the similarity and proximity laws in gestalt theory. During the iterative process based on the unsupervised Expectation-Minimization (EM) algorithm, the shape of the sampling window is optimally adjusted. Such a deformable window allows us to exploit the similarity and proximity among the sampled pixels. Comparisons between GestEdge and other edge detectors are shown to justify the effectiveness of GestEdge in extracting the gestalt edges.

scholarly journals On route with harbor seals – how their senses contribute to orientation, navigation and foraging

Neuroforum ◽  
2018 ◽  
Vol 24 (4) ◽  
pp. A183-A195
Author(s):  
Frederike D. Hanke ◽  
Guido Dehnhardt
Keyword(s):  
Model Organism ◽  
Sensory Systems ◽  
Harbor Seals ◽  
Coastal Regions ◽  
Sea Lions ◽  
Research Questions ◽  
The Senses ◽  
New Research

Summary Summary: Seals and sea lions are well-oriented in their habitat, the coastal regions and oceans, and are, moreover, successful hunters. During their movements between haul-out places and foraging grounds as well as during foraging, the sensory systems of seals and sea lions provide useful information, although the animals, and thus their sensory systems, face considerable challenges in their habitat and due to their amphibious lifestyle. In this review, in the first chapter, we compiled and later (chapter 4) discuss the information on the senses of seals and sea lions in general and their specific adaptations to habitat and lifestyle in particular. We hereby focus on the senses of harbor seals. Harbor seals turned into a model organism regarding the sensory systems due to intensive sensory research of the last decades. In the second and third chapter, the sensory basics are put into the context of orientation, navigation, and foraging. This allows formulating new research questions, such as where and how the information from different senses is integrated.

The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors

2005 ◽  
Author(s):  
F. Faita ◽  
V. Gemignani ◽  
M. Giannoni ◽  
A. Benassi ◽  
E.M. Ferdeghini ◽  
...  
Keyword(s):  
Cardiovascular Imaging ◽  
Central Moment ◽  
Edge Detector ◽  
First Order ◽  
Edge Detectors

scholarly journals Real–Time Eye Tracking and Iris Localization

2012 ◽  
Author(s):  
Husniza Razalli ◽  
Rahmita Wirza O. K. Rahmat ◽  
Ramlan Mahmud
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Vision System ◽  
Main Task ◽  
Circle Fitting ◽  
Eye Tracker ◽  
Eye Detection ◽  
Iris Localization ◽  
Point Detection ◽  
Human Eyes

Masalah sistem pengesanan mata yang tegar tanpa sebarang gangguan adalah satu isu yang penting dan mencabar di dalam bidang visi komputer. Masalah ini bukan hanya mengurangkan masalah dalam carian ciri–ciri paras rupa untuk proses pengecaman tetapi juga boleh digunakan untuk memudahkan tugas pengenalpastian dan interaksi antara manusia dan sistem komputer. Walaupun kebanyakan hasil kerja terdahulu telah pun mempunyai keupayaan menentukan lokasi mata manusia tetapi objektif utama rencana ini bukan tertumpu kepada pengesanan mata sahaja. Objektif kajian adalah untuk merekabentuk sebuah sistem masa nyata dan terperinci, iaitu sistem pengesanan muka berskala dengan ciri–ciri petunjuk pergerakan mata berdasarkan pergerakan anak mata (iris) dengan mengunakan teknik penempatan yang terhasil daripada teknik pemprosesan imej dan teknik muatan bulatan. Hasil daripada kajian ini telah pun berjaya diimplimentasikan menggunakan kamera web dengan ralat yang minimum. Kata kunci: Pengesanan mata masa nyata; penempatan anak mata; pemprosesan imej; pengesanan bucu; muatan bulatan Robust, non–intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human–computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this paper is not only a vision system with eye detection capability. Our aim is to design a real–time face tracker system and iris localization using edge point detection method indicates from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non–intrusive webcam with less error. Key words: Real–time face tracking; iris localization; image processing; edge detection; circle fitting

scholarly journals Contentious Episodes in the Age of Austerity

2021 ◽  
Keyword(s):  
Great Recession ◽  
Contentious Politics ◽  
Political Conflict ◽  
Event Analysis ◽  
Middle Ground ◽  
Narrative Approaches ◽  
The Great Recession ◽  
Novel Approach ◽  
Research Questions ◽  
New Research

Based on extensive data and analysis of sixty contentious episodes in twelve European countries, this book proposes a novel approach that takes a middle ground between narrative approaches and conventional protest event analysis. Looking particularly at responses to austerity policies in the aftermath of the Great Recession (2008–2015), the authors develop a rigorous conceptual framework that focuses on the interactions between three types of participants in contentious politics: governments, challengers, and third parties. This approach allows political scientists to map not only the variety of actors and actor coalitions that drove the interactions in the different episodes, but also the interplay of repression/concessions/support and of mobilization/cooperation/mediation on the part of the actors involved in the contention. The methodology used will enable researchers to answer old (and new) research questions related to political conflict in a way that is simultaneously attentive to conceptual depth and statistical rigor.

scholarly journals Machine Learning and Deep Learning Techniques, Features and Obstacles in the Cataract Diagnosis

2020 ◽  
Vol 9 (3) ◽  
pp. 87-93
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Literature Review ◽  
Congenital Cataract ◽  
Low Cost ◽  
Current Situation ◽  
Learning Techniques ◽  
Research Questions ◽  
New Research

Cataract is a degenerative condition that, according to estimations, will rise globally. Even though there are various proposals about its diagnosis, there are remaining problems to be solved. This paper aims to identify the current situation of the recent investigations on cataract diagnosis using a framework to conduct the literature review with the intention of answering the following research questions: RQ1) Which are the existing methods for cataract diagnosis? RQ2) Which are the features considered for the diagnosis of cataracts? RQ3) Which is the existing classification when diagnosing cataracts? RQ4) And Which obstacles arise when diagnosing cataracts? Additionally, a cross-analysis of the results was made. The results showed that new research is required in: (1) the classification of “congenital cataract” and, (2) portable solutions, which are necessary to make cataract diagnoses easily and at a low cost.

Introduction

2017 ◽  
Author(s):  
José-Miguel Fernández-Dols ◽  
James A. Russell
Keyword(s):  
Facial Expression ◽  
Current Psychology ◽  
Facial Expressions ◽  
Present Book ◽  
Facial Expressions Of Emotion ◽  
Research Questions ◽  
Research Scientists ◽  
New Research

One of the purposes of the present book is to provide an updated review of the current psychology of facial expression and to acknowledge the growing contribution of neuroscientists, biologists, anthropologists, linguists, and other scientists to this field. Our aim was to allow the readers—from lay to practitioners to research scientists—to discover the most recent scientific developments in the field and its associated questions and controversies. As will become obvious, the most fundamental questions, such as whether “facial expressions of emotion” in fact express emotions, remain subjects of great controversy. Just as important, readers will find that new research questions and proposals are animating this field.

Group Judgment and Decision Making in Auditing: Research in the Time of COVID-19 and Beyond

2021 ◽  
Author(s):  
Tim D. Bauer ◽  
Kerry A. Humphreys ◽  
Ken T. Trotman
Keyword(s):  
Decision Making ◽  
Virtual Teams ◽  
Financial Reporting ◽  
Audit Committee ◽  
Judgment And Decision Making ◽  
Team Members ◽  
Group Judgment ◽  
Audit Firms ◽  
Research Questions ◽  
New Research

The COVID-19 pandemic has fundamentally changed the ways auditors work and interact with team members and others in the financial reporting process. In particular, there has been a move away from face-to-face interactions to the use of virtual teams, with strong indications many of these changes will remain post-pandemic. We examine the impacts of the pandemic on group judgment and decision making (JDM) research in auditing by reviewing research on auditor interactions with respect to the review process (including coaching), fraud brainstorming, consultations within audit firms, and parties outside the audit firm such as client management and the audit committee. Through the pandemic lens and for each auditor interaction, we consider new research questions for audit JDM researchers to investigate and new ways of addressing existing research questions given these fundamental changes. We also identify potential impacts on research methods used to address these questions during the pandemic and beyond.

The Walkthrough Method

2022 ◽  
pp. 461-486
Author(s):  
Michela Cavagnuolo ◽  
Viviana Capozza ◽  
Alfredo Matrella
Keyword(s):  
Cultural Influences ◽  
Cultural Representations ◽  
Review Of The Literature ◽  
Social Scientists ◽  
Cultural Economic ◽  
Important Place ◽  
Digital Platforms ◽  
The Social ◽  
Research Questions ◽  
New Research

Nowadays the social scientists are called to integrate within their studies new tools that modify and innovate the scientist's typical toolbox. Digital platforms, media, and especially apps pose further challenges to social scientists today, as they are an important place of significant socio-cultural, economic, health, relationships, and entertainment transformations. When studying digital technologies, in fact, it's important to pay attention to both their socio-cultural representations and technological aspects – since even design and data outputs have social and cultural influences. In this context, new research questions arise; among all the possible tools in the digital method toolbox, the walkthrough method is a noteworthy way to answer them. Starting from these considerations, this chapter aims to analyze, through a review of the literature, the birth and development of the walkthrough method in its various meanings to identify the innovative aspects and fields of application.

From One Empirical Study to 150

2021 ◽  
pp. 90-105
Author(s):  
Henrich R. Greve
Keyword(s):  
Empirical Study ◽  
Bounded Rationality ◽  
Performance Feedback ◽  
Aspiration Level ◽  
Organizational Goals ◽  
Organizational Search ◽  
Research Questions ◽  
Research Agendas ◽  
Research Stream ◽  
New Research

Performance feedback research examines how performance relative to the aspiration level on one or more organizational goals influences organizational search and change. It views the organization as solving problems presented by performance shortfalls, consistent with bounded rationality. This chapter examines the start of my research on performance feedback, the growth of this research stream, and how I and other participants in this research stream have sought to stimulate its growth and direct it toward interesting new research questions. In a series of notes on the steps this research stream has taken to advance our knowledge, I outline more general ideas on how research streams can become influential through recruitment of participants and setting of research agendas.

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