Unsupervised deep image stitching: Reconstructing stitched features to images
Traditional feature-based image stitching technologies rely heavily on feature detection
quality, often failing to stitch images with few features or low resolution. The learning-based …
quality, often failing to stitch images with few features or low resolution. The learning-based …
Virtual reality solutions employing artificial intelligence methods: A systematic literature review
T Ribeiro de Oliveira, B Biancardi Rodrigues… - ACM Computing …, 2023 - dl.acm.org
Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
Simfir: A simple framework for fisheye image rectification with self-supervised representation learning
In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …
plane. These distortion patterns are independent of the visual content and provide …
Progressively complementary network for fisheye image rectification using appearance flow
Distortion rectification is often required for fisheye images. The generation-based method is
one mainstream solution due to its label-free property, but its naive skip-connection and …
one mainstream solution due to its label-free property, but its naive skip-connection and …
Deep learning for camera calibration and beyond: A survey
Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …
captured sequences, which is crucial for computer vision and robotics. However …
Model-aware pre-training for radial distortion rectification
Camera lenses often suffer from optical aberrations, causing radial distortion in the captured
images. In those images, there exists a clear and general physical distortion model …
images. In those images, there exists a clear and general physical distortion model …
Innovating Real Fisheye Image Correction with Dual Diffusion Architecture
Fisheye image rectification is hindered by synthetic models producing poor results for real-
world correction. To address this, we propose a Dual Diffusion Architecture (DDA) for fisheye …
world correction. To address this, we propose a Dual Diffusion Architecture (DDA) for fisheye …
A deep ordinal distortion estimation approach for distortion rectification
Radial distortion has widely existed in the images captured by popular wide-angle cameras
and fisheye cameras. Despite the long history of distortion rectification, accurately estimating …
and fisheye cameras. Despite the long history of distortion rectification, accurately estimating …
Revisiting radial distortion rectification in polar-coordinates: A new and efficient learning perspective
Fisheye cameras can capture a large field-of-view (Fov) scene but it introduces severe radial
distortion in images. Thus, distortion rectification is a crucial step for subsequent computer …
distortion in images. Thus, distortion rectification is a crucial step for subsequent computer …
Systematic Review of Virtual Reality Solutions Employing Artificial Intelligence Methods
T Ribeiro de Oliveira, M Moura da Silva… - Proceedings of the 23rd …, 2021 - dl.acm.org
This paper first presents a systematic literature review of artificial intelligence (AI) methods
used in virtual reality (VR) solutions. Based on the systematic literature review, a …
used in virtual reality (VR) solutions. Based on the systematic literature review, a …