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https://www.readbyqxmd.com/read/28339486/a-top-down-manner-based-dcnn-architecture-for-semantic-image-segmentation
#1
Kai Qiao, Jian Chen, Linyuan Wang, Lei Zeng, Bin Yan
Given their powerful feature representation for recognition, deep convolutional neural networks (DCNNs) have been driving rapid advances in high-level computer vision tasks. However, their performance in semantic image segmentation is still not satisfactory. Based on the analysis of visual mechanism, we conclude that DCNNs in a bottom-up manner are not enough, because semantic image segmentation task requires not only recognition but also visual attention capability. In the study, superpixels containing visual attention information are introduced in a top-down manner, and an extensible architecture is proposed to improve the segmentation results of current DCNN-based methods...
2017: PloS One
https://www.readbyqxmd.com/read/28338047/automated-detection-and-enumeration-of-marine-wildlife-using-unmanned-aircraft-systems-uas-and-thermal-imagery
#2
A C Seymour, J Dale, M Hammill, P N Halpin, D W Johnston
Estimating animal populations is critical for wildlife management. Aerial surveys are used for generating population estimates, but can be hampered by cost, logistical complexity, and human risk. Additionally, human counts of organisms in aerial imagery can be tedious and subjective. Automated approaches show promise, but can be constrained by long setup times and difficulty discriminating animals in aggregations. We combine unmanned aircraft systems (UAS), thermal imagery and computer vision to improve traditional wildlife survey methods...
March 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28335510/gender-recognition-from-human-body-images-using-visible-light-and-thermal-camera-videos-based-on-a-convolutional-neural-network-for-image-feature-extraction
#3
Dat Tien Nguyen, Ki Wan Kim, Hyung Gil Hong, Ja Hyung Koo, Min Cheol Kim, Kang Ryoung Park
Extracting powerful image features plays an important role in computer vision systems. Many methods have previously been proposed to extract image features for various computer vision applications, such as the scale-invariant feature transform (SIFT), speed-up robust feature (SURF), local binary patterns (LBP), histogram of oriented gradients (HOG), and weighted HOG. Recently, the convolutional neural network (CNN) method for image feature extraction and classification in computer vision has been used in various applications...
March 20, 2017: Sensors
https://www.readbyqxmd.com/read/28335486/implicit-regularization-for-reconstructing-3d-building-rooftop-models-using-airborne-lidar-data
#4
Jaewook Jung, Yoonseok Jwa, Gunho Sohn
With rapid urbanization, highly accurate and semantically rich virtualization of building assets in 3D become more critical for supporting various applications, including urban planning, emergency response and location-based services. Many research efforts have been conducted to automatically reconstruct building models at city-scale from remotely sensed data. However, developing a fully-automated photogrammetric computer vision system enabling the massive generation of highly accurate building models still remains a challenging task...
March 19, 2017: Sensors
https://www.readbyqxmd.com/read/28335445/deciphering-egyptian-hieroglyphs-towards-a-new-strategy-for-navigation-in-museums
#5
Jaime Duque-Domingo, Pedro Javier Herrera, Enrique Valero, Carlos Cerrada
This work presents a novel strategy to decipher fragments of Egyptian cartouches identifying the hieroglyphs of which they are composed. A cartouche is a drawing, usually inside an oval, that encloses a group of hieroglyphs representing the name of a monarch. Aiming to identify these drawings, the proposed method is based on several techniques frequently used in computer vision and consists of three main stages: first, a picture of the cartouche is taken as input and its contour is localized. In the second stage, each hieroglyph is individually extracted and identified...
March 14, 2017: Sensors
https://www.readbyqxmd.com/read/28335385/patient-posture-monitoring-system-based-on-flexible-sensors
#6
Youngsu Cha, Kihyuk Nam, Doik Kim
Monitoring patients using vision cameras can cause privacy intrusion problems. In this paper, we propose a patient position monitoring system based on a patient cloth with unobtrusive sensors. We use flexible sensors based on polyvinylidene fluoride, which is a flexible piezoelectric material. Theflexiblesensorsareinsertedintopartsclosetothekneeandhipoftheloosepatientcloth. We measure electrical signals from the sensors caused by the piezoelectric effect when the knee and hip in the cloth are bent. The measured sensor outputs are transferred to a computer via Bluetooth...
March 13, 2017: Sensors
https://www.readbyqxmd.com/read/28334658/extraction-of-the-3d-local-orientation-of-myocytes-in-human-cardiac-tissue-using-x-ray-phase-contrast-micro-tomography-and-multi-scale-analysis
#7
François Varray, Iulia Mirea, Max Langer, Françoise Peyrin, Laurent Fanton, Isabelle E Magnin
This paper presents a methodology to access the 3D local myocyte arrangements in fresh human post-mortem heart samples. We investigated the cardiac micro-structure at a high and isotropic resolution of 3.5 µm in three dimensions using X-ray phase micro-tomography at the European Synchrotron Radiation Facility. We then processed the reconstructed volumes to extract the 3D local orientation of the myocytes using a multi-scale approach with no segmentation. We created a simplified 3D model of tissue sample made of simulated myocytes with known size and orientations, to evaluate our orientation extraction method...
February 20, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28333011/utility-of-deep-inspiration-breath-hold-for-left-sided-breast-radiation-therapy-in-preventing-early-cardiac-perfusion-defects-a-prospective-study
#8
Timothy M Zagar, Orit Kaidar-Person, Xiaoli Tang, Ellen E Jones, Jason Matney, Shiva K Das, Rebecca L Green, Arif Sheikh, Amir H Khandani, William H McCartney, Jorge Daniel Oldan, Terence Z Wong, Lawrence B Marks
PURPOSE: To evaluate early cardiac single photon computed tomography (SPECT) findings after left breast/chest wall postoperative radiation therapy (RT) in the setting of deep inspiration breath hold (DIBH). METHODS AND MATERIALS: We performed a prospective single-institution single-arm study of patients who were planned for tangential RT with DIBH to the left breast/chest wall (± internal mammary nodes). The DIBH was done by use of a controlled surface monitoring technique (AlignRT, Vision RT Ltd, London, UK)...
April 1, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28332777/diagnostic-performance-of-the-melafind-device-in-a-real-life-clinical-setting
#9
Christine Fink, Claudia Jaeger, Katharina Jaeger, Holger A Haenssle
BACKGROUND: MelaFind is a multispectral computer vision system intended to -provide additional information on melanocytic lesions suspected of being melanoma by -objectively assessing their three-dimensional morphology. OBJECTIVES: Analysis of the diagnostic performance of MelaFind in a real-life clinical setting. PATIENTS AND METHODS: In this observational study, 360 pigmented skin lesions (PSL) in 111 patients were assessed by office-based dermatologists using MelaFind...
March 23, 2017: Journal der Deutschen Dermatologischen Gesellschaft, Journal of the German Society of Dermatology: JDDG
https://www.readbyqxmd.com/read/28332160/robust-motion-tracking-in-liver-from-2d-ultrasound-images-using-supporters
#10
Ece Ozkan, Christine Tanner, Matej Kastelic, Oliver Mattausch, Maxim Makhinya, Orcun Goksel
PURPOSE: Effectiveness of image-guided radiation therapy with precise dose delivery depends highly on accurate target localization, which may involve motion during treatment due to, e.g., breathing and drift. Therefore, it is important to track the motion and adjust the radiation delivery accordingly. Tracking generally requires reliable target appearance and image features, whereas in ultrasound imaging acoustic shadowing and other artifacts may degrade the visibility of a target, leading to substantial tracking errors...
March 22, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28329064/perioperative-outcomes-of-off-pump-minimally-invasive-coronary-artery-bypass-grafting-with-bilateral-internal-thoracic-arteries-under-direct-vision%C3%A2
#11
Keita Kikuchi, Xufa Chen, Makoto Mori, Atsushi Kurata, Liang Tao
OBJECTIVES: We previously introduced techniques to harvest and use the right internal thoracic artery in minimally invasive coronary artery bypass grafting (CABG) via a single left thoracotomy for revascularization with bilateral internal thoracic arteries (BITA). We report our short-term outcomes of patients who underwent minimally invasive CABG using BITA and a single internal thoracic artery (SITA). METHODS: Consecutive patients who underwent minimally invasive CABG using BITA or SITA at a Japanese medical center between February 2012 and December 2015 were reviewed retrospectively...
January 31, 2017: Interactive Cardiovascular and Thoracic Surgery
https://www.readbyqxmd.com/read/28326656/skin-cancer-diagnosed-by-using-artificial-intelligence-on-clinical-images
#12
Isaäc van der Waal
In a recent Research Letter in Nature an automated classification of a few selected skin lesions has been published, using a deep convolutional neural network (CNN) (Esteva et al, 2017). Convolutional neural network is an important innovation in the field of computer vision. A popular use is for image processing, e.g. applied in face recognition. In the reported study CNN has been applied to a dataset of almost 130,000 clinical images, including some 3,000 dermoscopic images. This article is protected by copyright...
March 22, 2017: Oral Diseases
https://www.readbyqxmd.com/read/28324939/visual-transparent-visual-occlusion-an-eeg-and-cop-study
#13
Kwang Leng Goh, Susan Morris, Wee Lih Lee, Alexander Ring, Tele Tan
Electroencephalography (EEG) and centre of pressure (COP) data were recorded in young adults for 60 seconds during standing in visual transparent (VT) and visual occlusion (VO) conditions. In both of these conditions, participants wore VO liquid crystal spectacles which allowed the experimenter to accurately control visual information being presented or occluded to the participant. Alpha band (8-13 Hz) revealed significant differences in channel-averaged power spectrum in these two conditions, but not theta band (4-8 Hz) and beta band (13-30 Hz)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28321887/simplification-of-visual-rendering-in-simulated-prosthetic-vision-facilitates-navigation
#14
Victor Vergnieux, Marc J-M Macé, Christophe Jouffrais
Visual neuroprostheses are still limited and simulated prosthetic vision (SPV) is used to evaluate potential and forthcoming functionality of these implants. SPV has been used to evaluate the minimum requirement on visual neuroprosthetic characteristics to restore various functions such as reading, objects and face recognition, object grasping, etc. Some of these studies focused on obstacle avoidance but only a few investigated orientation or navigation abilities with prosthetic vision. The resolution of current arrays of electrodes is not sufficient to allow navigation tasks without additional processing of the visual input...
March 21, 2017: Artificial Organs
https://www.readbyqxmd.com/read/28319238/behavioral-and-neural-constraints-on-hierarchical-representations
#15
Odelia Schwartz, Luis Gonzalo Sanchez Giraldo
Central to behavior and cognition is the way that sensory stimuli are represented in neural systems. The distributions over such stimuli enjoy rich structure; however, how the brain captures and exploits these regularities is unclear. Here, we consider different sources of perhaps the most prevalent form of structure, namely hierarchies, in one of its most prevalent cases, namely the representation of images. We review experimental approaches across a range of subfields, spanning inference, memory recall, and visual adaptation, to investigate how these constrain hierarchical representations...
March 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28317909/the-active-side-of-stereopsis-fixation-strategy-and-adaptation-to-natural-environments
#16
Agostino Gibaldi, Andrea Canessa, Silvio P Sabatini
Depth perception in near viewing strongly relies on the interpretation of binocular retinal disparity to obtain stereopsis. Statistical regularities of retinal disparities have been claimed to greatly impact on the neural mechanisms that underlie binocular vision, both to facilitate perceptual decisions and to reduce computational load. In this paper, we designed a novel and unconventional approach in order to assess the role of fixation strategy in conditioning the statistics of retinal disparity. We integrated accurate realistic three-dimensional models of natural scenes with binocular eye movement recording, to obtain accurate ground-truth statistics of retinal disparity experienced by a subject in near viewing...
March 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28316563/a-saccade-based-framework-for-real-time-motion-segmentation-using-event-based-vision-sensors
#17
Abhishek Mishra, Rohan Ghosh, Jose C Principe, Nitish V Thakor, Sunil L Kukreja
Motion segmentation is a critical pre-processing step for autonomous robotic systems to facilitate tracking of moving objects in cluttered environments. Event based sensors are low power analog devices that represent a scene by means of asynchronous information updates of only the dynamic details at high temporal resolution and, hence, require significantly less calculations. However, motion segmentation using spatiotemporal data is a challenging task due to data asynchrony. Prior approaches for object tracking using neuromorphic sensors perform well while the sensor is static or a known model of the object to be followed is available...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28306716/localization-and-diagnosis-framework-for-pediatric-cataracts-based-on-slit-lamp-images-using-deep-features-of-a-convolutional-neural-network
#18
Xiyang Liu, Jiewei Jiang, Kai Zhang, Erping Long, Jiangtao Cui, Mingmin Zhu, Yingying An, Jia Zhang, Zhenzhen Liu, Zhuoling Lin, Xiaoyan Li, Jingjing Chen, Qianzhong Cao, Jing Li, Xiaohang Wu, Dongni Wang, Haotian Lin
Slit-lamp images play an essential role for diagnosis of pediatric cataracts. We present a computer vision-based framework for the automatic localization and diagnosis of slit-lamp images by identifying the lens region of interest (ROI) and employing a deep learning convolutional neural network (CNN). First, three grading degrees for slit-lamp images are proposed in conjunction with three leading ophthalmologists. The lens ROI is located in an automated manner in the original image using two successive applications of Candy detection and the Hough transform, which are cropped, resized to a fixed size and used to form pediatric cataract datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28300605/a-rapid-quantification-of-binocular-misalignment-without-recording-eye-movements-vertical-and-torsional-alignment-nulling
#19
Kara H Beaton, Mark J Shelhamer, Dale C Roberts, Michael C Schubert
BACKGROUND: Small, innate asymmetries between the left and right otolith organs can cause ocular misalignment with symptoms that include double vision and motion sickness. Additionally, ocular misalignment affects nearly 5% of the US population. We have developed a portable, non-invasive technology that uses subjective perception of binocular visual signals to estimate relative binocular alignment. NEW METHOD AND RESULTS: The Vertical Alignment Nulling (VAN) and Torsional Alignment Nulling (TAN) tests ask subjects to view one red and one blue line on a tablet computer while looking through color-matched red and blue filters so that each eye sees only one of the lines...
March 11, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28300332/computer-vision-based-diameter-maps-to-study-fluoroscopic-recordings-of-small-intestinal-motility-from-conscious-experimental-animals
#20
I Ramírez, J J Pantrigo, A S Montemayor, A E López-Pérez, M I Martín-Fontelles, S J H Brookes, R Abalo
BACKGROUND: When available, fluoroscopic recordings are a relatively cheap, non-invasive and technically straightforward way to study gastrointestinal motility. Spatiotemporal maps have been used to characterize motility of intestinal preparations in vitro, or in anesthetized animals in vivo. Here, a new automated computer-based method was used to construct spatiotemporal motility maps from fluoroscopic recordings obtained in conscious rats. METHODS: Conscious, non-fasted, adult, male Wistar rats (n=8) received intragastric administration of barium contrast, and 1-2 hours later, when several loops of the small intestine were well-defined, a 2 minutes-fluoroscopic recording was obtained...
March 16, 2017: Neurogastroenterology and Motility: the Official Journal of the European Gastrointestinal Motility Society
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