As the complexity of 3D models used in computer graphics applications grows, there arises a need to visualize the overall distribution of detail on them. Detail is a function of the amount of information present on a ...
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In the previous several years, the field of 3D reconstruction and generation has been growth rapidly and produced multiple approaches for different sub-tasks such as representing 3D structure, convolutional operations...
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This paper expounds the automatic recognition method of parts based on computervision. The feature database of the processed parts is constructed by using machine learning method. image preprocessing, threshold segme...
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作者：
Chen, HaijiaGuan, DongliangShantou University
Guangdong Engineering Center for Structure Safety and Health Monitoring Department of Civil and Environmental Engineering Guangdong Province Shantou China Shanghai Jiaotong University
School of Electronic Information and Electrical Engineering Shanghai China
Shadow removal and restoration of the image content in the shadowed regions by using shadow removal has become more and more popular in computervision. But almost all current shadow-removal approaches use shadow-free...
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Speech impairment is a disability that affects an individual's ability to verbal communication. To overcome this issue sign language is used which is one of the most organised languages. There is definitely a need...
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ISBN:
(纸本)9781665428644
Speech impairment is a disability that affects an individual's ability to verbal communication. To overcome this issue sign language is used which is one of the most organised languages. There is definitely a need for a method or an application that can recognize sign language gestures so that communication is possible even if someone does not understand sign language. My paper is an effort towards filling the gap between differently-abled people like deaf and dumb and the other people. imageprocessing combined with machine learning helped in forming a real-time system. imageprocessing is used for pre-processing the images and extracting different hand from the background. These images obtained after extracting background were used for forming data that contained 24 alphabets of the English language. The Convolutional Neural Network proposed here is tested on both a custom-made dataset and also with real-time hand gestures performed by people of different skin tones. The accuracy obtained by the proposed algorithm is 83%.
3D tracking plays a vital role in 3D applications by enhancing interaction between real and virtual world. We present various real-time 3D motion estimation approaches developed in photogrammetry and computervision f...
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ISBN:
(纸本)9781538649916
3D tracking plays a vital role in 3D applications by enhancing interaction between real and virtual world. We present various real-time 3D motion estimation approaches developed in photogrammetry and computervision fields and compare their performance. The methods developed in both fields estimates 3D motion of a moving object relative to a camera or equivalently moving camera relative to the object in an image sequence when its corresponding features are known at different times. We reviewed 3D motion models formulated by different methods related to their geometric properties. We implemented four different methods and analyzed their performance results. Comparison from test datasets from image sequences demonstrated that homography based approaches in both fields were more accurate than relative orientation or essential matrix based approaches under noisy situations.
Consideration is given to the problem of surface reconstruction from stereo images for large scenes having large depth ranges, where it is necessary to aim cameras in different directions and to fixate at different ob...
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ISBN:
(纸本)0818620579
Consideration is given to the problem of surface reconstruction from stereo images for large scenes having large depth ranges, where it is necessary to aim cameras in different directions and to fixate at different objects. The authors concentrate on the selection of new fixation points from among the nonfixated, low resolution scene parts, and subsequent processing for surface reconstruction. The coarse stereo estimates in the vicinity of the new fixation point are refined as the images of the new fixation point gradually deblur during the process of refixation and are subsequently used to analyze the fixated parts of the scene.
In our paper we deal with the problem of low-level motion modelling and unusual event detection in urban surveillance videos. We model the direction of optical flow vectors at image pixels. We implemented and tested p...
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ISBN:
(纸本)9789898111210
In our paper we deal with the problem of low-level motion modelling and unusual event detection in urban surveillance videos. We model the direction of optical flow vectors at image pixels. We implemented and tested probability based approaches such as probability estimation, Mixture of Gaussians modelling, and spatial averaging (with Mean-shift segmentation). We propose a Markovian prior to get reliable spatio-temporal support. We tested the techniques on synthetic and real video sequences.
In the information age, imageprocessing technology has become prevalent across various domains. To enhance image correction, computervision algorithms can be employed. Traditional methods for structural system ident...
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The objective of this paper is to develop 3D underwater reconstruction of archeology object, which is based on a mono-camera. The underwater images are obtained from a calibrated camera system. We first solve the prob...
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ISBN:
(纸本)9781509060887
The objective of this paper is to develop 3D underwater reconstruction of archeology object, which is based on a mono-camera. The underwater images are obtained from a calibrated camera system. We first solve the problem of imageprocessing by applying the well-known filter, therefore to improve quality of underwater images. The features of interest between image pairs are selected by well-known methods: a FAST detector and FLANN descriptor. Subsequently, the RANSAC method is applied to reject outlier points. The putative inliers are matched by triangulation to produce sparse point clouds in 3D space, using a pinhole camera model and Euclidean distance estimation.
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