AI Article Synopsis
- This study explores how to adapt active appearance models (AAM) to color images, specifically improving on the limitations of previous methods that used RGB color models.
- The research finds that normalizing color texture vectors separately for intensity and chromaticity can enhance convergence accuracy and image synthesis quality.
- The optimal performance is reached using the I1I2I3 color space, which helps in reducing correlation between image channels for better results.
Article Abstract
The extension of the standard grayscale active appearance model (AAM) techniques to color images is investigated. Prior work in this field has mainly focused on RGB color models which did not demonstrate noticeable benefits over grayscale models from the point of view of convergence accuracy. We improve on previous work by normalizing the color texture vector separately for intensity and chromaticity components. Where an appropriate color space is chosen, we demonstrate improvements in convergence accuracy as well as image synthesization quality for AAMs. Optimal results are achieved when a color space in which the image channels are strongly decorrelated is chosen. Our best results are achieved using the I1I2I3 color space, originally proposed by Ohta.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TIP.2009.2017163 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multiple image encryption algorithm using channel randomization and multiple chaotic maps.
Sci Rep
December 2024
Department of Computer Science, Faculty of Computers and Information, Suez University, P.O. Box 43221, Suez, Egypt.
Developing robust and secure image encryption methods for transmitting multiple images in batches over unprotected networks has become imperative. This necessity arises from the limitations of single-image encryption techniques in managing the escalating volume of extensive data. This paper introduces a novel three-layer multiple-image encryption (MIE) technique to encrypt batch images based on three 2D-chaotic maps.
View Article and Find Full Text PDFDiffusion tensor imaging along the perivascular space: the bias from crossing fibres.
Brain Commun
November 2024
Department of Clinical Sciences, Diagnostic Radiology, Medical Faculty, Lund University, 221 85 Lund, Sweden.
Non-invasive evaluation of glymphatic function has emerged as a crucial goal in neuroimaging, and diffusion tensor imaging along the perivascular space (DTI-ALPS) has emerged as a candidate method for this purpose. Reduced ALPS index has been suggested to indicate impaired glymphatic function. However, the potential impact of crossing fibres on the ALPS index has not been assessed, which was the aim of this cross-sectional study.
View Article and Find Full Text PDFBrain spatial reconciliation through multisensory integration in the impact of pandemic fatigue on workplace.
Front Hum Neurosci
December 2024
Faculty of Psychology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
The COVID-19 pandemic has highlighted the prevalence of fatigue, reduced interpersonal interaction, and heightened stress in work environments. The intersection of neuroscience and architecture underscores how intricate spatial perceptions are shaped by multisensory stimuli, profoundly influencing workers' wellbeing. In this study, EEG and VR technologies, specifically the , were employed to gather data on perception and cognition.
View Article and Find Full Text PDFBackground: Local flaps for breast reconstruction are becoming recognized as a viable alternative to remote flaps.
Objectives: The purpose of this manuscript is to describe the anatomy and clinical outcomes using the internal mammary artery perforators and the lateral intercostal artery perforator flaps for breast reconstruction.
Methods: Twelve cadaveric specimens were injected with colored latex and dissected to demonstrate the medial perforators of the 5th intercostal space.
The Salford Nature Environments Database (SNED): an open-access database of standardized high-quality pictures from natural environments.
Behav Res Methods
December 2024
School of Health and Society, University of Salford, Allerton Building, Frederick Road, Salford, M5 4WT, UK.
The growing interest in harnessing natural environments to enhance mental health, including cognitive functioning and mood, has yielded encouraging results in initial studies. Given that images of nature have demonstrated similar benefits, they are frequently employed as proxies for real-world environments. To ensure precision and control, researchers often manipulate images of natural environments.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!