This paper presents an approach for constructing high quality Digital Elevation Maps (DEMs) from dense stereo data. As opposed to classical DEM creation algorithms, the proposed solution uses the sensor models of the ...
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ISBN:
(纸本)9781509018901
This paper presents an approach for constructing high quality Digital Elevation Maps (DEMs) from dense stereo data. As opposed to classical DEM creation algorithms, the proposed solution uses the sensor models of the stereovision sensor to correct the raw data. The direct and inverse sensor models are found from experiments. The algorithm decomposes the 2D cells containing vertical objects or object boundaries in order to model the objects more precisely. The approach distinguishes between 2 types of cells: cells containing horizontal and vertical objects. For the vertical object cells, connected components in the histogram of heights are found while in the horizontal object cells, the most representative height is determined using a mode-seeking approach similar to mean shift. The 3D reconstructed points are assigned to the cells around it by considering the probability of correspondence based on the 2D Gaussian component of the direct sensor model. In order to eliminate the noise, a similarity measure is computed between each 3D point and cell based on the calculated DEM cell descriptor and is discarded if the similarity score is smaller than a predefined threshold. The algorithm is implemented on the GPU in order to achieve a real-time execution speed and it is evaluated extensively in comparison with other DEM creation algorithms using the latest KITTI stereo benchmark data. The obtained DEM is denser, more accurate and the object boundaries are modeled more precisely.
Compare with the infra-ray light gaze tracking systems, the visible light gaze tracking (VLGT) design provides new applications to consumer electronics. However, the VLGT suffers from the technical difficulties of acc...
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ISBN:
(纸本)9781467383653
Compare with the infra-ray light gaze tracking systems, the visible light gaze tracking (VLGT) design provides new applications to consumer electronics. However, the VLGT suffers from the technical difficulties of accommodating various illumination conditions and unstable image features. These system design issues lead to the problem of low accuracy in estimating iris center location and high computational complexity. Leveraging from our previous work, we further improve the algorithm of ellipse matching for the iris region and the mapping function, whereas the average angular errors are less than 0.45° for both horizontal and vertical directions.
Many parking garages and open parking spaces today are already equipped with surveillance cameras to increase the security of pedestrians or to record potentially illegal actions. An additional use case for such multi...
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ISBN:
(纸本)9781509018901
Many parking garages and open parking spaces today are already equipped with surveillance cameras to increase the security of pedestrians or to record potentially illegal actions. An additional use case for such multi-camera surveillance systems is the automatic extraction of 3D-positions of objects and pedestrians. The safety of autonomous vehicles could benefit from this information in cases where the on-board sensors might be unable to detect potentially dangerous situations due to occlusion. Since the used cameras are installed statically, change detection is often employed as the first operation and all subsequent processing steps rely on its quality. Different scenarios impose specific challenges to the respective algorithms. In this paper we present an efficient algorithm for change detection which is tailored to the difficulties arising in an indoor surveillance scenario and demonstrate its applicability by adapting an existing pipeline and improving overall performance.
Impulse-based ground penetrating radar (GPR) has been proposed as a way to detect landmines and improvised explosive devices (IEDs). However, a drawback of such radar systems is the difficulty in transmitting a signal...
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ISBN:
(纸本)9781509008643
Impulse-based ground penetrating radar (GPR) has been proposed as a way to detect landmines and improvised explosive devices (IEDs). However, a drawback of such radar systems is the difficulty in transmitting a signal with an arbitrary bandwidth and shape. Step-frequency GPR has been recognized as a way to precisely control the bandwidth and spectral shape of the transmitted pulse. In this paper, we extend a previously developed ℓ 1 -regularized least squares algorithm, which has been successfully applied to impulse-based GPR image reconstruction, to step-frequency GPR. We investigate the performance of the proposed algorithm using simulated step-frequency GPR data. The initial results are promising.
The application is an augmented virtual reality application where the user is recognized at close range and can virtually try clothes. The unique point about this application is the fact that there'll be image pro...
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The application is an augmented virtual reality application where the user is recognized at close range and can virtually try clothes. The unique point about this application is the fact that there'll be imageprocessing and computer vision used to determine size of shirt and waist and so on of a person using the Kinect V2 perceptual computing kit rather than just allowing the user to try on virtual clothes. These clothes can be showcased online among the friends or can be directly used for printing and manufacturing the shirt using CO_2 laser from a robotic arm which is out of scope of this paper. The modelling of cloth which is supposed to be augmented on the virtual human body is being designed with competent geometric algorithms rather than just relying on Gaming or Motion Control Frameworks. The results are tested on latest Kinect V2 sensor which provides user a compelling experience to opt for. The paper initially overviews the major technical components for complete virtual try-on system, followed by elucidating several key challenges such as calibration of Kinect and estimation of measurements for individual subjects like outfits, etc. Eventually we discuss key details of the implementation using Kinect V2. Quality of these steps is the key to achieve seamless try-on experience for users.
Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system Therefore, how to realize a high-performance fle...
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Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system Therefore, how to realize a high-performance flexible universa real-time SAR signal processing system is one of the main challenges nowadays. The paper proposes the design architecture and implementation of a high-performance real-time SAR signa processing system with the TI's latest multi-core DSP TMS320C6678 based on the VPX 3U standard. It shows the strong computation ability, stability, easy reconstruction and good adaptability to a variety of imaging algorithms. By the successful application cases of the multi-mode, multi-polarization multi-resolution space-borne and airborne real-time SAR imaging systems, its flexibility and high-performance could be adequately proved. Moreover, our experiment result indicates that a SAR RD algorithm takes only 21.55 s for a 0.2m*0.2m resolution 4GB(16K×32K complex points) image, achieving realtime performance.
Radiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful appl...
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ISBN:
(纸本)9781509024223
Radiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful application of topographic normalization algorithms for calibration purposes requires integration of several types of high-resolution geographic datasets and their processing in a common context. This paper presents the application of an operational system for cloud-based radiometric and topographic calibration of satellite imagery. The system uses a Web-based Geographic Information System integrated within a High Performance Computing environment for remote processing of uploaded satellite data. The article also presents sample results produced by the system and discusses the benefits of using a cloud-based environment.
作者：
Bingyong YanHousheng SuWei MaSchool of Automation
Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China School of Automation
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory for Advanced Materials & Institute of Fine Chemicals
East China University of Science and Technology 130 Meilong Road Shanghai 200237 China
In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault...
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In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault tracking approximator (FTA). Differently from the other approximators, the FTA uses iterative algorithms to detect and identify nonlinear system faults, even in the presence of model uncertainty, which is motivated by predictive control theory and iterative learning control theory. The FTA can simultaneously detect and identify the shape and magnitude of the faults. The rigorous stability analysis and fault tracking properties of the FTA are also proved. Finally, two examples are given to illustrate the feasibility and effectiveness of the proposed approach.
This study introduces a model for supporting the consumer?s cell phone purchase decisions by determining the phone status and recommending an estimated price for the phone. According to economic reasons, many people m...
This study introduces a model for supporting the consumer?s cell phone purchase decisions by determining the phone status and recommending an estimated price for the phone. According to economic reasons, many people may have to buy used products. As the price for used cell phones is usually estimated while trading between the seller and the buyer which do not guarantee the best and fair price, this situation has emerged the idea of this study. We consider the idea of the proposed model is novel as up to our knowledge, all proposed online systems do not guarantee a fair price, they only focus on providing a link between the buyer and the seller and provide the seller?s required price with no recommendation of whether this price is fair or not. The proposed model has a set of defined criteria for status estimation. The values for some of these criteria are detected by applying of digital imageprocessing technique on the phone photos and then a classification model is applied to determine its category and its estimated price. The recommendation system has been built based on the proposed model. Moreover, a web application with a user friendly interface has been developed and a number of cases for Samsung cell phones have been conducted which proved the applicability of the model.
Surveillance video is characterized by large amount of data and redundancy, which makes the suspicious face detection to be a problem. To solve the problem above we proposed suspicious face detection based on key fram...
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