Geometry and Vision
First International Symposium, ISGV 2021, Auckland, New Zealand, January 28-29, 2021, Revised Selected Papers
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%P
20 Result(s)
within
**wei Qi
English
Artificial Intelligence
Image Processing and Computer Vision
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Article
An enhanced multi-scale weight assignment strategy of two-exposure fusion
Multi-exposure image fusion (MEF) is a convenient way to get high dynamic range (HDR) images. However, when the input sequence with a large difference in exposure time, the existing MEF algorithms cannot well ...
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Article
Hierarchical Visual-Textual Knowledge Distillation for Life-Long Correlation Learning
Correlation learning among different types of multimedia data, such as visual and textual content, faces huge challenges from two important perspectives, namely, cross modal and cross domain. Cross modal means th...
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Book and Conference Proceedings
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Chapter and Conference Paper
A New Noise Generating Method Based on Gaussian Sampling for Privacy Preservation
Centralised machine learning brings in side effect pertaining to privacy preservation, most of machine learning methods prone to using the frameworks without privacy protection, as current methods for privacy ...
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Chapter and Conference Paper
Tree Leaves Detection Based on Deep Learning
In this paper, digital images related to five kinds of leaves which are available at New Zealand are collected as our dataset, two deep learning models, namely, Faster R-CNN and YOLOv5, representing two-stage ...
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Chapter and Conference Paper
Apple Ripeness Identification Using Deep Learning
Deep learning models assist us in fruit classification, which allow us to use digital images from cameras to classify a fruit and find its class of ripeness automatically. Apple ripeness classification is a pr...
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Chapter and Conference Paper
Traffic Sign Recognition Using Guided Image Filtering
In challenging lighting conditions, such as haze, rain, and weak lighting condition, the accuracy of traffic sign recognition is not very high due to missed detection or incorrect positioning. In this paper, w...
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Chapter and Conference Paper
Sign Language Recognition from Digital Videos Using Deep Learning Methods
In this paper, we investigate the state-of-the-art deep learning methods for sign language recognition. In order to achieve this goal, Capsule Network (CapsNet) is proposed in this paper, which shows positive ...
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Chapter and Conference Paper
Traffic-Sign Recognition Using Deep Learning
Traffic-sign recognition (TSR) has been an essential part of driver-assistance systems, which is able to assist drivers in avoiding a vast number of potential hazards and improve the experience of driving. How...
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Chapter and Conference Paper
Fruit Detection from Digital Images Using CenterNet
In this paper, CenterNet is chosen as the model to settle fruit detection problem from digital images. Three CenterNet models with various backbones were implemented, namely, ResNet-18, DLA-34, and Hourglass. ...
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Article
Gait recognition using multichannel convolution neural networks
Human gait recognition has a wide range of applications in multiple fields, such as video surveillance, digital security, and forensics. In this paper, we investigate the challenging problem of cross-view gait...
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Article
Cross-view gait recognition through ensemble learning
Gait has been well known as an unobtrusive promising biometric to identify a person from a distance. However, the effectiveness of silhouette-based approaches in gait recognition is diluted due to variations o...
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Chapter and Conference Paper
A Sequential CNN Approach for Foreign Object Detection in Hyperspectral Images
This paper reports about potentials of hyperspectral imaging for object detection, especially on an application of foreign object detection (FOD) in meat products
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Chapter and Conference Paper
Integrated Multi-scale Event Verification in an Augmented Foreground Motion Space
Moving event verification plays an important role in intelligent traffic supervision systems. We propose a novel event-verification framework using a deep convolutional neural network (CNN) in a proposed augme...
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Chapter and Conference Paper
Detection of Adulteration in Red Meat Species Using Hyperspectral Imaging
This paper reports the performance of hyperspectral imaging for detecting the adulteration in red-meat species. Line-scanning images are acquired from muscles of lamb, beef, or pork. We consider the states of ...
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Chapter and Conference Paper
Local Fast R-CNN Flow for Object-Centric Event Recognition in Complex Traffic Scenes
This paper presents a solution for an integrated object-centric event recognition problem for intelligent traffic supervision. We propose a novel event-recognition framework using deep local flow in a fast reg...
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Article
Saliency detection via Boolean and foreground in a dynamic Bayesian framework
The goal of saliency detection is to locate important regions in an image which attract viewers’ attention the most. In this paper, we propose a dynamic Bayesian model for saliency detection in which both Bool...
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Chapter and Conference Paper
Multi-step Reinforcement Learning Algorithm of Mobile Robot Path Planning Based on Virtual Potential Field
A algorithm of dynamic multi-step reinforcement learning based on virtual potential field path planning is proposed in this paper. Firstly, it is constructed the virtual potential field according to the known ...
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Chapter and Conference Paper
Event Analogy Based Privacy Preservation in Visual Surveillance
Privacy preservation as a thorny problem in surveillance has been arisen because of its relevance to human right, however it has not been completely solved yet today. In this paper, we investigate this existin...
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Article
Open AccessSaliencyRank: Two-stage manifold ranking for salient object detection
Salient object detection remains one of the most important and active research topics in computer vision, with wide-ranging applications to object recognition, scene understanding, image retrieval, context awa...
