Výsledky vyhledávání - Image Processing and Computer Vision—Applications Keywords

Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: A Review Autor Cimarelli, Claudio, Millan-Romera, Jose Andres, Voos, Holger, Sanchez-Lopez, Jose Luis

“… Second, we review image-processing algorithms developed explicitly for event-based data, covering works on feature detection, tracking, optical flow, depth and pose estimation, and object recognition…”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review Autor Lumamba, Kapongo D., Wells, Gordon, Naicker, Delon, Naidoo, Threnesan, Steyn, Adrie J. C., Gwetu, Mandlenkosi

“…Objective To conduct a systematic review of the computer vision applications that detect, diagnose, or analyse tuberculosis (TB…”
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Metadata Processing Technique for Similar Image Search of Mobile Platform Autor Jung-Hee Seo

“… Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult…”
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Metadata Processing Technique for Similar Image Search of Mobile Platform Autor Seo, Jung-Hee

“… Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult…”
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Efficiently Scaling up Crowdsourced Video Annotation: A Set of Best Practices for High Quality, Economical Video Labeling Autor Vondrick, Carl, Patterson, Donald, Ramanan, Deva

“…We present an extensive three year study on economically annotating video with crowdsourced marketplaces. Our public framework has annotated thousands of real…”
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Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition Autor Zhu, Fan, Shao, Ling

“…We address the visual categorization problem and present a method that utilizes weakly labeled data from other visual domains as the auxiliary source data for…”
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Generalized Transfer Subspace Learning Through Low-Rank Constraint Autor Shao, Ming, Kit, Dmitry, Fu, Yun

“…It is expensive to obtain labeled real-world visual data for use in training of supervised algorithms. Therefore, it is valuable to leverage existing databases…”
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Decomposing Global Light Transport Using Time of Flight Imaging Autor Wu, Di, Velten, Andreas, O’Toole, Matthew, Masia, Belen, Agrawal, Amit, Dai, Qionghai, Raskar, Ramesh

“…Global light transport is composed of direct and indirect components. In this paper, we take the first steps toward analyzing light transport using the high temporal resolution information of time of flight (ToF) images…”
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Euler Principal Component Analysis Autor Liwicki, Stephan, Tzimiropoulos, Georgios, Zafeiriou, Stefanos, Pantic, Maja

“… In our experiments we apply Euler-PCA to three different computer vision applications for which our method performs comparably with other state-of-the-art approaches…”
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Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images Autor Kolar Rajagopal, Anoop, Subramanian, Ramanathan, Ricci, Elisa, Vieriu, Radu L., Lanz, Oswald, Kalpathi R., Ramakrishnan, Sebe, Nicu

“…Head pose classification from surveillance images acquired with distant, large field-of-view cameras is difficult as faces are captured at low-resolution and have a blurred appearance…”
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Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace Autor Kan, Meina, Wu, Junting, Shan, Shiguang, Chen, Xilin

“… source domain to the unlabeled target domain. Our basic idea is to convert the source domain images to target domain…”
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Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition Autor Gong, Boqing, Grauman, Kristen, Sha, Fei

“…Domain adaptation aims to correct the mismatch in statistical properties between the source domain on which a classifier is trained and the target domain to…”
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Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review Autor Murthy, Chinthakindi Balaram, Hashmi, Mohammad Farukh, Bokde, Neeraj Dhanraj, Geem, Zong Woo

“…In recent years there has been remarkable progress in one computer vision application area: object detection…”
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Domain Adaptation for Structured Regression Autor Yamada, Makoto, Sigal, Leonid, Chang, Yi

“…Discriminative regression models have proved effective for many vision applications…”
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Asymmetric and Category Invariant Feature Transformations for Domain Adaptation Autor Hoffman, Judy, Rodner, Erik, Donahue, Jeff, Kulis, Brian, Saenko, Kate

“…-1We address the problem of visual domain adaptation for transferring object models from one dataset or visual domain to another. We introduce a unified…”
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A Combined Theory of Defocused Illumination and Global Light Transport Autor Gupta, Mohit, Tian, Yuandong, Narasimhan, Srinivasa G., Zhang, Li

“…Projectors are increasingly being used as light-sources in computer vision applications…”
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Fast and accurate surface normal integration on non-rectangular domains Autor Bähr, Martin, Breuß, Michael, Quéau, Yvain, Boroujerdi, Ali Sharifi, Durou, Jean-Denis

“…The integration of surface normals for the purpose of computing the shape of a surface in 3D space is a classic problem in computer vision…”
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High Performance Customizable Architecture for Machine Vision Applications Autor Acosta, Nelson, Leiva, Lucas

“…Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision…”
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Model-Driven Domain Adaptation on Product Manifolds for Unconstrained Face Recognition Autor Ho, Huy Tho, Gopalan, Raghuraman

“… This problem arises very naturally in face recognition where images corresponding to the source domain…”
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Semantic-Improved Color Imaging Applications: It Is All About Context Autor Lindner, Albrecht, Susstrunk, Sabine

“… Note that this is the reverse direction of common computer vision applications. The framework relates keywords to image characteristics using a statistical significance test…”
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