8 Result(s)
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Article
Deep Learning Architecture for Computer Vision-based Structural Defect Detection
Structural health monitoring (SHM) refers to the implementation of a damage detection strategy for structures. Fault occurrence in these structural systems during the operation is inevitable. Efficient, fast, ...
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Chapter and Conference Paper
Continuous Motion Recognition in Depth Camera Based on Recurrent Neural Networks and Grid-based Average Depth
Inspired by the success of using RNN in some other fields, we propose to apply the RNN to recognize human motion based on depth data. RNN can directly model the depth sequence on the time axis, and learn the t...
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Chapter and Conference Paper
An Improved Clothing Parsing Method Emphasizing the Clothing with Complex Texture
Recently, researches on clothing segmentation and style recognition in still images have made a big breakthrough. Clothing parsing, as the basis of the above researches, has also made great progress. Unfortun...
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Article
Automatic alignment for virtual fitting using 3D garment stretching and human body relocation
In recent years, researches on virtual fitting are mostly based on the data of garment pieces through Computer Aided Design. However, three-dimensional garment models are more intuitive, integrated and easy to...
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Chapter and Conference Paper
One-Shot-Learning Gesture Segmentation and Recognition Using Frame-Based PDV Features
This paper proposes one novel on-line gesture segmentation and recognition method for one-shot-learning on depth video. In each depth image, we take several random points from the motion region and select a g...
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Chapter and Conference Paper
DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras
We propose a method for training deep convolutional neural networks (CNNs) to recognize the human actions captured by depth cameras. The depth maps and 3D positions of skeleton joints tracked by depth camera l...
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Chapter and Conference Paper
Action Segmentation and Recognition Based on Depth HOG and Probability Distribution Difference
The paper presents a method to automatically separate consecutive human actions into subsegments and recognize them. The 3D positions of the joints tracked by depth camera like Kinect sensors and the depth mot...
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Chapter and Conference Paper
A Dynamic-Rule-Based Framework of Engineering Drawing Recognition and Interpretation System
This paper introduces the idea that recognition and interpretation of engineering drawings should be two interwoven phases, with each providing feedback to another, and applies this idea to a dynamic-rule-base...
