60 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
Yi**ang Chen
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Chapter and Conference Paper
Automated Counting of Sex-Pheromone Attracted Insects Using Trapped Images
In this paper, an automatic segmentation and counting method for insect monitoring in orchard was proposed. The method based on image processing consisted of: (1) touching insect detection, (2) local segmentat...
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Chapter and Conference Paper
Optimal Range of Information Quantity for Decision Making
Information quantity is an important factor in decision making, but the relationship between them in digital interface is still unclear. This paper presents a study on the range of information quantity that i...
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Chapter and Conference Paper
A Study of Japan’s Welfare Beauty Service from Cultural Creative’s Perspective
According to the National Development Council, Taiwan has one of the fastest growth rate of ageing and disabled population in the world. The two issues combined form a social problem that needs to be addressed...
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Chapter and Conference Paper
Can 3D Pose Be Learned from 2D Projections Alone?
3D pose estimation from a single image is a challenging task in computer vision. We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks. Our method does not require co...
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Chapter and Conference Paper
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the partici...
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Chapter and Conference Paper
“Factual” or “Emotional”: Stylized Image Captioning with Adaptive Learning and Attention
Generating stylized captions for an image is an emerging topic in image captioning. Given an image as input, it requires the system to generate a caption that has a specific style (e.g., humorous, romantic, po...
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Chapter and Conference Paper
Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTM
Surgical workflow analysis is an important topic of computer-assisted intervention and phase recognition is one of its important tasks. Features extracted from video frames by 2D convolutional networks were pr...
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Chapter and Conference Paper
From Interpretation to Deduction: A Study on the Experience Design Method of Digitized Communication of Cultural Heritage
Based on the present situation of digital communication of cultural heritage at home and abroad, this article compares, analyzes and summarizes the current typical methods of digitized communication. At the s...
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Chapter and Conference Paper
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
In this paper, we propose an order-sensitive deep hashing for scalable medical image retrieval in the scenario of coexistence of multiple medical conditions. The pairwise similarity preservation in existing ha...
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Chapter and Conference Paper
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
Purpose: To automatically segment neurosensory retinal detachment (NRD)-associated subretinal fluid in spectral domain optical coherence tomography (SD-OCT) images by constructing a Hessian-based Aggregate genera...
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Chapter and Conference Paper
KPI Data Anomaly Detection Strategy for Intelligent Operation and Maintenance Under Cloud Environment
In the complex and changeable cloud environment, monitoring and anomaly detection of the cloud platform is very important. In the cloud environment, because of the complex structure of the system, the characte...
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Chapter and Conference Paper
Center-Level Verification Model for Person Re-identification
In past years, convolutional neural network is increasingly used in person re-identification due to its promising performance. Especially, the siamese network has been widely used with the combination of verif...
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Chapter and Conference Paper
Automated and Robust Geographic Atrophy Segmentation for Time Series SD-OCT Images
Geographic atrophy (GA), mainly characterized by atrophy of the retinal pigment epithelium (RPE), is an advanced form of age-related macular degeneration (AMD) which will lead to vision loss. Automated and rob...
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Chapter and Conference Paper
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
Choroidal neovascularization (CNV), caused by new blood vessels in the choroid growing through the Bruch’s membrane, is an important manifestation of terminal age-related macular degeneration (AMD). Automated ...
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Chapter and Conference Paper
A Study of Applying Slow Technology on Wearable Devices
This study proposes two conceptual products using wearable devices (smartwatches) for the purpose of emotional management. One is designed with Slow Technology, and the other is designed with Personal Informa...
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Chapter and Conference Paper
Deep Boosting for Image Denoising
Boosting is a classic algorithm which has been successfully applied to diverse computer vision tasks. In the scenario of image denoising, however, the existing boosting algorithms are surpassed by the emerging...
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Chapter and Conference Paper
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
This work shows that it is possible to fool/attack recent state-of-the-art face detectors which are based on the single-stage networks. Successfully attacking face detectors could be a serious malware vulnerab...
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Article
Open AccessView suggestion for interactive segmentation of indoor scenes
Point cloud segmentation is a fundamental problem. Due to the complexity of real-world scenes and the limitations of 3D scanners, interactive segmentation is currently the only way to cope with all kinds of po...
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Chapter and Conference Paper
Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image
In the fiber image recognition system, pinpoint segmentation is critical for fiber feature extraction and further identification. In the case of fiber image taken by the optical microscope, the overlapped type...
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Chapter and Conference Paper
Human Action Recognition Based on Sub-data Learning
Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...
