19 Result(s)
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Chapter and Conference Paper
An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model
Training of supervised neural network models requires a large amount of high-quality datasets with true values. In computer vision tasks such as object detection and image segmentation, the process of annotati...
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Article
A non-invasive learning branch to capture leaf-image attention for tree species classification
Tree species classification is a necessary and challenging task for both multimedia technique and forestry engineering. Continuous developments in multimedia and vision technology enable this task to be achiev...
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Chapter and Conference Paper
A Semi-supervised Learning Based on Variational Autoencoder for Visual-Based Robot Localization
Robot localization, the task of determining the current pose of a robot, is a crucial problem of mobile robotic. Visual-based robot localization, which using only cameras as exteroceptive sensors, has become e...
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Chapter and Conference Paper
A Novel Construction Approach for Dehazing Dataset Based on Realistic Rendering Engine
Image dehazing is an important pre-processing for computer vision systems. Modern dehazing techniques are based deep learning and training data. Typical datasets are constructed with depth camera for indoor sc...
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Article
Single image haze removal for aqueous vapour regions based on optimal correction of dark channel
Haze removal is an interesting topic in multimedia and image processing for many applications. Specially for the automatic piloting of ships, the haze removal technology for aqueous vapour regions plays a key ...
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Article
A survey of level set method for image segmentation with intensity inhomogeneity
Image segmentation is a fundamental task in computer vision and image processing. Due to the presence of high noise, low resolution and intensity inhomogeneity, it is still a difficult problem in the practical...
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Article
A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation
Image segmentation plays an important role in the computer vision . However, it is extremely challenging due to low resolution, high noise and blurry boundaries. Recently, region-based models have been widely ...
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Article
A new haze removal approach for sky/river alike scenes based on external and internal clues
Sky/river alike areas are important parts of natural scenes. The haze of these areas will impact the vividness of natural scenes. More serious, once the haze occurs in navigation of flight and ship, it will th...
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Article
A matting method based on full feature coverage
The sampling-based matting method is an important method for image matting. There are three key techniques in sampling-based matting: 1) how to build a sample-set; 2) how to travel a sample-set; 3) how to obta...
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Article
A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation
In medical field, it remains challenging to accurately segment medical images due to low contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this paper provides a novel edge-base...
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Chapter and Conference Paper
Evaluating the Impacts of Concurrency Control over User Experience in Feature-Based Collaborative Designing
Collaborative CAD is the trend for the next generation of CAD systems. A concurrency control approach is the fundamental leveraging tool for resolving design conflicts. Although several algorithms are proposed...
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Article
A novel region-based active contour model via local patch similarity measure for image segmentation
It is always difficult to accurately segment images with intensity inhomogeneity because most of the representative local-based models only take into account rough local information and do not consider the spa...
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Chapter and Conference Paper
Single Image Dehazing Using Deep Convolution Neural Networks
Haze removal is urgently desired in multi-media system. A deep learning-based method, called dehazingCNN, is proposed to estimate an approximate clear image. The proposed learning model is different from tradi...
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Article
Meta-operation conflict resolution for human–human interaction in collaborative feature-based CAD systems
Conflicts resolution is one of the key issues in maintaining consistency and in supporting smooth human–human interaction for real-time collaborative systems. This paper presents a novel approach of meta-opera...
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Chapter and Conference Paper
Multi-core Accelerated Operational Transformation for Collaborative Editing
This article proposes a parallel operational transformation (OT) algorithm for collaborative editing. OT maintains the eventual consistency of replicated data in optimistic way, allowing users to manipulate th...
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Chapter and Conference Paper
Sensitive Information Protection of CAD Model Based on Free-Form Deformation in Collaborative Design
How to protect the sensitive information of CAD model is becoming a challenging issue in collaborative product development (CPD). This paper proposed a free-form deformation (FFD) based method to protect the s...
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Chapter and Conference Paper
To Support Human-Human Interaction in Collaborative Feature-Based CAD Systems
This paper discussed several key issues for human-human interaction in a collaborative CAD system. The first issue is to track the changing history of topological entities of a part model. A tree-like structur...
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Chapter and Conference Paper
A Replicated CSCW Framework for Multi-user Interaction in 3D Collaborative Design
In order to support fast, freedom and natural multi-user interaction, a replicated framework for collaborative design of 3D solid model is presented. The framework combines general collaborative problems with ...
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Chapter and Conference Paper
Using a Middleware Agent to Bridge Standalone CAD Systems for Distributed and Collaborative Applications
A method to bridge standalone CAD systems is presented. The method uses a middleware agent to wrap the standalone CAD systems. Both inside and outside encapsulations are constructed inside the agent. The onlin...
