2017

• Record 481 of
  
  Title:Flexible multifunction optical micro-manipulation technique based on PDMS chip
  
  Author(s):Liu, Kunshan(1); Xiao, Guangzong(1,2); Chen, Xinlin(1); Hu, Shaomin(1); Luo, Hui(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10244  Issue:   DOI: 10.1117/12.2261968  Published: 2017  
  Abstract:Design a chip for flexible multifunction optical micro-manipulation based on elastomeric materials-PDMS. We realized the different motion types of microspheres, including stably capture, spiral motion and orbital rotation, by adjusting the input voltage of piezoceramics designed in PDMS Chip. Compared to conventional techniques, this PDMS chip based method does not require special optical properties of the microspheres to be manipulated. In addition, the technique was convenient and precise for dynamical adjustment of motion types without external influences. From these results, we verify that this multifunctional optical micro-manipulation technique of PDMS elastomeric materials can find potential applications for optical manipulation, including cost-effective on-chip diagnostics, optical sorting and optical binding, etc. © 2017 SPIE.
  Accession Number: 20171503546583
• Record 482 of
  
  Title:Effect of thermally induced birefringence on performance of KD∗P electro-optics crystal with rectangular shape
  
  Author(s):Yin, Xingliang(1); Jiang, Menghua(1); Sun, Zhe(2); Hui, Yongling(1); Lei, Hong(1); Li, Qiang(1)
  Source: Applied Optics  Volume: 56  Issue: 10  DOI: 10.1364/AO.56.002893  Published: April 1, 2017  
  Abstract:In this paper, we present what we believe is the first demonstration of a new rectangular KD∗P crystal as an electro-optic switch and calculations of the stress-induced birefringence and depolarization loss in the crystal. We simulated and experimentally demonstrate the thermal depolarization loss of crystal in both cylindrical and rectangular shape. The results show that by using a rectangular KD∗P crystal, the effects of the thermally induced birefringence and depolarization can be lessened. © 2017 Optical Society of America.
  Accession Number: 20171403529431
• Record 483 of
  
  Title:Distinguishing the number of captured microspheres in dual-beam optical trap by measuring the back light signal
  
  Author(s):Zhou, Deyuan(1); Chen, Xinlin(1); Xiao, Guangzong(1,2); Han, Xiang(1); Jin, Shilong(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10460  Issue:   DOI: 10.1117/12.2284995  Published: 2017  
  Abstract:Optical traps have been widely used in a large variety of applications ranging from biophysics to nano-sciences. More than one microscopic object can be captured in an optical trap. In the practical application, it is always necessary to distinguish and control the number of captured objects in the optical trap. In this paper, a novel method has been presented to distinguish the number of trapped microspheres by measuring the intensity of back signal. Clear descent of the back signal has been observed when a microsphere is captured in the center of optical trap. The relative coupling efficiency of back signal decreases as the number of captured microspheres increases both in experiment and theory. This method contributes to miniaturization and integration of applied systems due to getting rid of the imaging system, and is generally applicable to the area of nanoparticle trapping. © 2017 SPIE.
  Accession Number: 20180304653285
• Record 484 of
  
  Title:Pressurization Actuation Based Variable Curvature Mirror Having Variable Thickness
  
  Author(s):Zhao, Hui(1); Xie, Xiao-Peng(1,2); Xu, Liang(1); Ding, Jiao-Teng(1); Liu, Mei-Ying(1); Fan, Xue-Wu(1); Wang, Ya-Jun(1)
  Source: Guangzi Xuebao/Acta Photonica Sinica  Volume: 46  Issue: 10  DOI: 10.3788/gzxb20174610.1011002  Published: October 1, 2017  
  Abstract:The Finite Element Analysis(FEA)based optimization procedure aiming to obtain the optimum mirror parameters was first improved, it was found that the degradation of surface figure accuracy was mainly caused by spherical aberrations through Zernike polynomial surface fitting using 21 terms. After that, another duralumin prototype VCM (aperture 135 mm, central thickness 8mm and initial curvature radius 2 807 mm) was fabricated and tested. Because of the improvement of the fabrication process, the initial surface figure accuracy of the second mirror is superior to λ/80 (632.8 nm). When a pressure of about 0.07 MPa is imposed, the saggigus variation reaches nearly 37 μm and the corresponding surface figure accuracy is still superior to λ/40 (632.8 nm) with spherical aberrations removed. Compared with the first prototype VCM, the performance of the second one has been improved prominently. © 2017, Science Press. All right reserved.
  Accession Number: 20174504368399
• Record 485 of
  
  Title:System calibration method for Fourier ptychographic microscopy
  
  Author(s):Pan, An(1,2); Zhang, Yan(1,2); Zhao, Tianyu(1,2); Wang, Zhaojun(1,2); Dan, Dan(1,2); Yao, Baoli(1)
  Source: arXiv  Volume:   Issue:   DOI:   Published: March 16, 2017  
  Abstract:Fourier ptychographic microscopy (FPM) is a recently proposed quantitative phase imaging technique with high resolution and wide field-of-view (FOV). In current FPM imaging platforms, systematic error sources come from the aberrations, LED intensity fluctuation, parameter imperfections and noise, which will severely corrupt the reconstruction results with artifacts. Although these problems have been researched and some special methods have been proposed respectively, there is no method to solve all of them. However, the systematic error is a mixture of various sources in the real situation. It is difficult to distinguish a kind of error source from another due to the similar artifacts. To this end, we report a system calibration procedure, termed SC-FPM, based on the simulated annealing (SA) algorithm, LED intensity correction and adaptive step-size strategy, which involves the evaluation of an error matric at each iteration step, followed by the re-estimation of accurate parameters. The great performance has been achieved both in simulation and experiments. The reported system calibration scheme improves the robustness of FPM and relaxes the experiment conditions, which makes the FPM more pragmatic. Copyright © 2017, The Authors. All rights reserved.
  Accession Number: 20200305711
• Record 486 of
  
  Title:Image2song: Song Retrieval via Bridging Image Content and Lyric Words
  
  Author(s):Li, Xuelong(1); Hu, Di(2); Lu, Xiaoqiang(1)
  Source: arXiv  Volume:   Issue:   DOI:   Published: August 19, 2017  
  Abstract:Image is usually taken for expressing some kinds of emotions or purposes, such as love, celebrating Christmas. There is another better way that combines the image and relevant song to amplify the expression, which has drawn much attention in the social network recently. Hence, the automatic selection of songs should be expected. In this paper, we propose to retrieve semantic relevant songs just by an image query, which is named as the image2song problem. Motivated by the requirements of establishing correlation in semantic/content, we build a semantic-based song retrieval framework, which learns the correlation between image content and lyric words. This model uses a convolutional neural network to generate rich tags from image regions, a recurrent neural network to model lyric, and then establishes correlation via a multi-layer perceptron. To reduce the content gap between image and lyric, we propose to make the lyric modeling focus on the main image content via a tag attention. We collect a dataset from the social-sharing multimodal data to study the proposed problem, which consists of (image, music clip, lyric) triplets. We demonstrate that our proposed model shows noticeable results in the image2song retrieval task and provides suitable songs. Besides, the song2image task is also performed. Copyright © 2017, The Authors. All rights reserved.
  Accession Number: 20200036245
• Record 487 of
  
  Title:Autofocus window selection algorithm based on visual saliency
  
  Author(s):Wei, Zhaoqi(1,2); Su, Xiuqin(1)
  Source: 2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017  Volume:   Issue:   DOI: 10.1109/ICIVC.2017.7984650  Published: July 18, 2017  
  Abstract:Aiming at the problem of Autofocus window selection in imaging system, a new algorithm based on visual saliency for Autofocus window selection is proposed, which provides a new solution. A re-designed Itti model is used to predict the salient region in the visual scene. By choosing the local maxima in the saliency map to be the seed, the most salient region can be obtained by growing around it and a minimum enclosing rectangle can be found as the focus window. In this paper, the focus window selection based on visual saliency can efficiently capture the visual salient region and the position of general target well, highlight potential focus targets and improves the accuracy of focusing. Compared with the common focusing window selection algorithm, the method proposed in this paper can improve the focusing performance of the imaging system and has wider applicability in the general scene. © 2017 IEEE.
  Accession Number: 20173804169352
• Record 488 of
  
  Title:Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values
  
  Author(s):Dai, Yimian(1); Wu, Yiquan(1,2,3); Song, Yu(1); Guo, Jun(1)
  Source: Infrared Physics and Technology  Volume: 81  Issue:   DOI: 10.1016/j.infrared.2017.01.009  Published: March 1, 2017  
  Abstract:To further enhance the small targets and suppress the heavy clutters simultaneously, a robust non-negative infrared patch-image model via partial sum minimization of singular values is proposed. First, the intrinsic reason behind the undesirable performance of the state-of-the-art infrared patch-image (IPI) model when facing extremely complex backgrounds is analyzed. We point out that it lies in the mismatching of IPI model's implicit assumption of a large number of observations with the reality of deficient observations of strong edges. To fix this problem, instead of the nuclear norm, we adopt the partial sum of singular values to constrain the low-rank background patch-image, which could provide a more accurate background estimation and almost eliminate all the salient residuals in the decomposed target image. In addition, considering the fact that the infrared small target is always brighter than its adjacent background, we propose an additional non-negative constraint to the sparse target patch-image, which could not only wipe off more undesirable components ulteriorly but also accelerate the convergence rate. Finally, an algorithm based on inexact augmented Lagrange multiplier method is developed to solve the proposed model. A large number of experiments are conducted demonstrating that the proposed model has a significant improvement over the other nine competitive methods in terms of both clutter suppressing performance and convergence rate. © 2017 Elsevier B.V.
  Accession Number: 20170403275934
• Record 489 of
  
  Title:Analysis of partial crystallization in Yb3+ doped aluminophosphosilicate fiber preforms prepared with organic chelate precursor doping technique
  
  Author(s):Luo, Rong(1,2); Li, Weinan(1); Hou, Chaoqi(1); Wang, Pengfei(1)
  Source: ECS Journal of Solid State Science and Technology  Volume: 6  Issue: 4  DOI: 10.1149/2.0151704jss  Published: 2017  
  Abstract:Yb3+ doped aluminophosphosilicate fiber preforms have been prepared by modified chemical vapor deposition (MCVD) with organic chelate precursor doping technique (OCD). It was found that the flow ratio of Yb(thd)3/POCl3 had an important influence on partial crystallization in the preform cores. The wholly transparent core was obtained when the flow ratio of Yb(thd)3/POCl3 ranged in 0.71:1–0.82:1. Crystallization occurred during etching process when the Yb(thd)3/POCl3 flow ratio was over 0.83:1, corresponding to a doping ratio of Yb2O3/P2O5 larger than 1.01:1, as characterized by electron probe microanalysis (EPMA). X-ray photoelectric spectroscopy (XPS) analysis indicated exsistence of P in the quasi-metaphosphate [PO4] bond structures in the crystallized area. Raman spectra displayed characteristic peaks of silica glasses except 1330 cm−1 Raman peaks, which can be assigned to P=O bond due to the presence of quasi-metaphosphate [PO4] units. When the content ratio of Yb2O3/P2O5 exceeded 1.01:1, Al was depleted and P was enriched, and the Yb3+ ions was mainly connected with the quasi-metaphosphate [PO4] units, which weakened the role of P and Al preventing Yb3+ ions clustering. As a result, crystallization occurred. And this schematic glass structural model was proposed for the partially crystallized preform core. © 2017 The Electrochemical Society. All rights reserved.
  Accession Number: 20175104545957
• Record 490 of
  
  Title:FFGS: Feature fusion with gating structure for image caption generation
  
  Author(s):Yuan, Aihong(1,2); Li, Xuelong(1); Lu, Xiaoqiang(1)
  Source: Communications in Computer and Information Science  Volume: 771  Issue:   DOI: 10.1007/978-981-10-7299-4_53  Published: 2017  
  Abstract:Automatically generating a natural language to describe the content of the given image is a challenging task in the interdisciplinary between computer vision and natural language processing. The task is challenging because computers not only need to recognize objects, their attributions and relationships between them in an image, but also these elements should be represented into a natural language sentence. This paper proposed a feature fusion with gating structure for image caption generation. First, the pre-trained VGG-19 is used as the image feature extractor. We use the FC-7 and CONV5-4 layer’s outputs as the global and local image feature, respectively. Second, the image features and the corresponding sentence are imported into LSTM to learn their relationship. The global image feature is gated at each time-step before imported into LSTM while the local image feature used the attention model. Experimental results show our method outperform the state-of-the-art methods. © Springer Nature Singapore Pte Ltd. 2017.
  Accession Number: 20175104549160
• Record 491 of
  
  Title:A sparse dictionary learning method for hyperspectral anomaly detection with capped norm
  
  Author(s):Ma, Dandan(1); Yuan, Yuan(1); Wang, Qi(2)
  Source: International Geoscience and Remote Sensing Symposium (IGARSS)  Volume: 2017-July  Issue:   DOI: 10.1109/IGARSS.2017.8127037  Published: December 1, 2017  
  Abstract:Hyperspectral anomaly detection is playing an important role in remote sensing field. Most conventional detectors based on the Reed-Xiaoli (RX) method assume the background signature obeys a Gaussian distribution. However, it is definitely hard to be satisfied in practice. Moreover, background statistics is susceptible to contamination of anomalies in the processing windows, which may lead to many false alarms and sensitiveness to the size of windows. To solve these problems, a novel sparse dictionary learning hyperspectral anomaly detection method with capped norm constraint is proposed. Contributions are claimed in threefold: 1) requiring no assumptions on the background distribution makes the method more adaptive to different scenes; 2) benefiting from the capped norm our method has a stronger distinctiveness to anomalies; and 3) it also has better adaptability to detect different sizes of anomalies without using the sliding dual window. The extensive experimental results demonstrate the desirable performance of our method. © 2017 IEEE.
  Accession Number: 20180704799521
• Record 492 of
  
  Title:Repetition rate controllable filter-driven four wave mixing laser
  
  Author(s):Bao, Hualong(1); Cooper, Andrew(1); Lauro, Luigi Di(1); Rowley, Maxwell(1); Chu, Sai T.(2); Little, Brent E.(3); Morandotti, Roberto(4); Moss, David J(5); Peccianti, Marco(1); Pasquazi, Alessia(1)
  Source: Optics InfoBase Conference Papers  Volume: Part F82-CLEO_Europe 2017  Issue:   DOI:   Published: 2017  
  Abstract:null
  Accession Number: 20180104612237