Stuart Perry
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View article: Glaucoma detection and staging from visual field images using machine learning techniques
Glaucoma detection and staging from visual field images using machine learning techniques Open
Purpose In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can …
View article: ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions
ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions Open
Images captured in challenging environments--such as nighttime, smoke, rainy weather, and underwater--often suffer from significant degradation, resulting in a substantial loss of visual quality. The effective restoration of these degraded…
View article: MacFormer: Semantic Segmentation with Fine Object Boundaries
MacFormer: Semantic Segmentation with Fine Object Boundaries Open
Semantic segmentation involves assigning a specific category to each pixel in an image. While Vision Transformer-based models have made significant progress, current semantic segmentation methods often struggle with precise predictions in …
View article: Compressed point cloud classification with point-based edge sampling
Compressed point cloud classification with point-based edge sampling Open
3D point cloud data, as an immersive detailed data source, has been increasingly used in numerous applications. To deal with the computational and storage challenges of this data, it needs to be compressed before transmission, storage, and…
View article: Efficiency–Accuracy Trade-Off in Light Field Estimation with Cost Volume Construction and Aggregation
Efficiency–Accuracy Trade-Off in Light Field Estimation with Cost Volume Construction and Aggregation Open
The Rich spatial and angular information in light field images enables accurate depth estimation, which is a crucial aspect of environmental perception. However, the abundance of light field information also leads to high computational cos…
View article: Physically-based simulation of elastic-plastic fusion of 3D bioprinted spheroids
Physically-based simulation of elastic-plastic fusion of 3D bioprinted spheroids Open
Spheroids are microtissues containing cells organized in a spherical shape whose diameter is usually less than a millimetre. Depending on the properties of the environment they are placed in, some nearby spheroids spontaneously fuse and ge…
View article: RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation Open
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segmentation. However, they still have limitations in representi…
View article: Glaucoma Detection and Feature Visualization from OCT Images Using Deep Learning
Glaucoma Detection and Feature Visualization from OCT Images Using Deep Learning Open
Purpose In this paper, we aimed to clinically interpret Temporal-Superior-Nasal-Inferior-Temporal (TSNIT) retinal optical coherence tomography (OCT) images in a convolutional neural network (CNN) model to differentiate between normal and g…
View article: Light Field View Synthesis Using the Focal Stack and All-in-Focus Image
Light Field View Synthesis Using the Focal Stack and All-in-Focus Image Open
Light field reconstruction and synthesis algorithms are essential for improving the lower spatial resolution for hand-held plenoptic cameras. Previous light field synthesis algorithms produce blurred regions around depth discontinuities, e…
View article: Glaucoma Detection and Staging from Visual Field Images using Machine Learning Techniques
Glaucoma Detection and Staging from Visual Field Images using Machine Learning Techniques Open
Purpose In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can …
View article: Subjective and Objective Testing in Support of the JPEG Pleno Point Cloud Compression Activity
Subjective and Objective Testing in Support of the JPEG Pleno Point Cloud Compression Activity Open
MMSPL
View article: Glaucoma diagnosis using multi-feature analysis and a deep learning technique
Glaucoma diagnosis using multi-feature analysis and a deep learning technique Open
In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) feature from optical coherence tomography (OCT) images. The dat…
View article: Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis
Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis Open
Depth estimation for light field images is essential for applications such as light field image compression, reconstructing perspective views and 3D reconstruction. Previous depth map estimation approaches do not capture sharp transitions …
View article: Objective Quality Assessment Metrics for Light Field Image Based on Textural Features
Objective Quality Assessment Metrics for Light Field Image Based on Textural Features Open
Light Field (LF) imaging is a plenoptic data collection method enabling a wide variety of image post-processing such as 3D extraction, viewpoint change and digital refocusing. Moreover, LF provides the capability to capture rich informatio…
View article: Combination of Images and Point Clouds in a Generative Adversarial Network for Upsampling Crack Point Clouds
Combination of Images and Point Clouds in a Generative Adversarial Network for Upsampling Crack Point Clouds Open
Point cloud data of cracks can be used for various purposes such as crack detection, depth calculation and crack segmentation. Upsampling low-density point clouds can help to improve the performance of those tasks. Building on existing met…
View article: Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity
Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity Open
In this work we compare two different options to perform on-line subjective quality assessment experiments in the context of the Call for Evidence on JPEG Pleno Point Cloud Coding. A deep-learning based point cloud codec submitted to the C…
View article: Surface properties and the perception of color
Surface properties and the perception of color Open
We examined whether perception of color saturation and lightness depends on the three-dimensional (3D) shape and surface gloss of surfaces rendered to have different hues. In Experiment 1, we parametrically varied specular roughness of pre…
View article: Adaptive Content Frame Skipping for Wyner–Ziv-Based Light Field Image Compression
Adaptive Content Frame Skipping for Wyner–Ziv-Based Light Field Image Compression Open
Light field (LF) imaging introduces attractive possibilities for digital imaging, such as digital focusing, post-capture changing of the focal plane or view point, and scene depth estimation, by capturing both spatial and angular informati…
View article: Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs Open
This paper presents a quality evaluation study of point cloud codecs that have been recently standardised by the MPEG committee. In particular, a subjective experiment to assess their performance in terms of bitrate against visual quality …
View article: QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)
QUALINET White Paper on Definitions of Immersive Media Experience (IMEx) Open
With the coming of age of virtual/augmented reality and interactive media, numerous definitions, frameworks, and models of immersion have emerged across different fields ranging from computer graphics to literary works. Immersion is oftent…
View article: Enhanced 3D Point Cloud from a Light Field Image
Enhanced 3D Point Cloud from a Light Field Image Open
The importance of three-dimensional (3D) point cloud technologies in the field of agriculture environmental research has increased in recent years. Obtaining dense and accurate 3D reconstructions of plants and urban areas provide useful in…
View article: Single-View 3D Object Reconstruction from Shape Priors in Memory
Single-View 3D Object Reconstruction from Shape Priors in Memory Open
Existing methods for single-view 3D object reconstruction directly learn to transform image features into 3D representations. However, these methods are vulnerable to images containing noisy backgrounds and heavy occlusions because the ext…