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Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition [chapter]

Chenghua Xu, Tieniu Tan, Stan Li, Yunhong Wang, Cheng Zhong
2006 Lecture Notes in Computer Science  
3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods.  ...  First, a novel representation, called intrinsic features, is presented to encode local 3D shapes. It describes complementary nonrelational features to provide an intrinsic representation of faces.  ...  They provide a complete information to reveal the intrinsic property of facial surface.  ... 
doi:10.1007/11744047_32 fatcat:36w5syvop5arbplbw67mpgp24e

Rethinking Summarization and Storytelling for Modern Social Multimedia [chapter]

Stevan Rudinac, Tat-Seng Chua, Nicolas Diaz-Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindén, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl (+3 others)
2018 Lecture Notes in Computer Science  
Traditional summarization initiatives have been focused on specific types of documents such as articles, reviews, videos, image feeds, or tweets, a practice which may result in pigeonholing the summarization  ...  task in the context of modern, content-rich multimedia collections.  ...  We reiterate the importance of summarization and storytelling for facilitating efficient and appealing access to large collections of social multimedia and interaction with them.  ... 
doi:10.1007/978-3-319-73603-7_51 fatcat:4mofhro6tbapfkwgbrc546c54u

Learning to Detect Fake Face Images in the Wild [article]

Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang
2018 arXiv   pre-print
For example, GAN can be used to generate a tampered video for specific people and inappropriate events, creating images that are detrimental to a particular person, and may even affect that personal safety  ...  images.  ...  The forgery image should be able to detected by checking the statistical property of the extracted intrinsic feature from the received image because any tampered operation will make the intrinsic feature  ... 
arXiv:1809.08754v3 fatcat:r3z4qyrlcnatlej2psfykmiylm

Heterogeneous Face Recognition from Local Structures of Normalized Appearance [chapter]

Shengcai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z. Li
2009 Lecture Notes in Computer Science  
Because heterogeneous face images can have different skin spectra-optical properties, direct appearance based matching is no longer appropriate for solving the problem.  ...  Heterogeneous face images come from different lighting conditions or different imaging devices, such as visible light (VIS) and near infrared (NIR) based.  ...  It suggest us that local image structures might be the really intrinsic property of faces in despite of light sources.  ... 
doi:10.1007/978-3-642-01793-3_22 fatcat:2vrevo37yza6zai7z7s6lroprq

Three-dimensional nanoscale nuclear architecture mapping of rectal biopsies detects colorectal neoplasia in patients with inflammatory bowel disease

Shikhar Uttam, Jana G Hashash, Justin LaFace, David Binion, Miguel Regueiro, Douglas J. Hartman, Randall E Brand, Yang Liu
2019 Cancer Prevention Research  
We demonstrate the potential of nanoNAM to identify patients with IBD at higher risk of developing cancer from normal-appearing rectum tissue, which may aid clinicians in patients with personalized IBD  ...  To establish its translational relevance, we prospectively recruited 103 patients with IBD colitis undergoing surveillance colonoscopy and measured submicroscopic alterations in aberrant intrinsic nuclear  ...  We summarized the intrinsic nuclear architecture information within these datacubes at the patient level following a two-step procedure.  ... 
doi:10.1158/1940-6207.capr-19-0024 pmid:31164345 pmcid:PMC6677599 fatcat:dqwh7he3iza45gdtojt5kyozkm

An innovative person detection system based on thermal imaging cameras dedicate for underground belt conveyors

Fabian Uth, Bartosz Polnik, Wojciech Kurpiel, Ralph Baltes, Peter Kriegsch, Elisabeth Clausen
2019 Mining Science  
By the development of thermal image processing algorithms, an automated detection of persons and classification of different objects was achieved.  ...  The test case for evaluating the performance of thermal imaging regarding these applications is the Polish Sobieski underground coal mine operated by Tauron mining company.  ...  For each image category a summarized describing feature vector was configured, with the aim to detect persons on an operating belt conveyor.  ... 
doi:10.37190/msc192618 fatcat:l3uzs6o3izfalamfb7tip5gmze

Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models

Chen Yu, Sven Bambach, Zehua Zhang, David J. Crandall
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
We consider a dataset of first-person videos from different people freely interacting with a set of toy objects, and train different objectrecognition models based on each subject's view.  ...  We observe large inter-observer differences and find that subjects who created more diverse images of an object result in models that learn more robust object representations.  ...  Results Our results are summarized in Figure 4 .  ... 
doi:10.1109/iccvw.2017.326 dblp:conf/iccvw/YuBZC17 fatcat:oxu7p2mlqfc5zcgh7ogrw63v5i

Summarization of personal photologs using multidimensional content and context

Pinaki Sinha, Sharad Mehrotra, Ramesh Jain
2011 Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11  
The objective of summarization is modeled as an optimization of these properties, given the size constraints.  ...  In this paper, we propose a framework for generation of representative subset summaries from large personal photo collections.  ...  Properties of an Effective Summary To define the properties of a summary, we make use of three basic properties of photos in a personal collection.  ... 
doi:10.1145/1991996.1992000 dblp:conf/mir/SinhaMJ11 fatcat:hehfxfzfkjee3abdgurokaa3a4

Reconstructing 3D Human Pose by Watching Humans in the Mirror [article]

Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, Xiaowei Zhou
2021 arXiv   pre-print
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror.  ...  To validate the proposed approach, we collect a large-scale dataset named Mirrored-Human, which covers a large variety of human subjects, poses and backgrounds.  ...  To summarize, a large-scale Internet dataset with 3D annotations is still missing.  ... 
arXiv:2104.00340v1 fatcat:q7bwzclmhrh7zfmneizglol4py

Entity Summarization: State of the Art and Future Challenges [article]

Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu
2021 arXiv   pre-print
Semantic data such as RDF data is commonly represented as entity-property-value triples.  ...  We focus on this prominent topic of entity summarization, and our research objective is to present the first comprehensive survey of entity summarization research.  ...  They describe entities with property-value pairs, which collectively form entity-property-value triples, or triples for short.  ... 
arXiv:1910.08252v2 fatcat:fxnkr2qrivb47ajv757naqnjle

Content Differences for Abstract and Concrete Concepts

Katja Katja Wiemer-Hastings, Xu Xu
2005 Cognitive Science  
Abstract concepts had significantly fewer intrinsic item properties and more properties expressing subjective experiences than concrete concepts.  ...  Thirty-one participants listed characteristics of the concepts (i.e., item properties) or their relevant context (i.e., context properties).  ...  The results for tokens were consistent with the type results; thus, they are only briefly summarized here.  ... 
doi:10.1207/s15516709cog0000_33 pmid:21702791 fatcat:7al25vw6vrhevj2ozwpd43pwci

Detection of Sagittarius A* at 330 MHz with the Very Large Array

Michael E. Nord, T. Joseph W. Lazio, Namir E. Kassim, W. M. Goss, N. Duric
2004 Astrophysical Journal  
We report the detection of Sagittarius A*, the radio source associated with our Galaxy's central massive black hole, at 330 MHz with the Very Large Array.  ...  Brogan for help with data reduction and imaging, and A. Cohen and L. J. Rickard for helpful discussions. Basic research in radio astronomy at the NRL is supported by the Office of Naval Research.  ...  In this Letter we summarize only salient details of the image processing.  ... 
doi:10.1086/381885 fatcat:a6g74cb5sbayrpggh2x7e5hjla

SignCol: Open-Source Software for Collecting Sign Language Gestures [article]

Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel
2019 arXiv   pre-print
Due to the intrinsic complexity and diversity of symbolic gestures, recognition algorithms need a comprehensive visual dataset to learn by.  ...  Sign language recognition is an assistive technology for individuals with hearing disability and its goal is to improve such individuals' life quality by facilitating their social involvement.  ...  SignCol can also handle signs with more than a person in the scene. As mentioned in section II-A, sign language is a complicated environment with different performing types, styles and constraints.  ... 
arXiv:1911.00071v1 fatcat:bp5uq5bajzg7haq43yuxacntha

Personal photo enhancement using example images

Neel Joshi, Wojciech Matusik, Edward H. Adelson, David J. Kriegman
2010 ACM Transactions on Graphics  
These "personal" photos provide strong guidance for a number of operations and, as a result, enable a number of high-quality image processing operations.  ...  We focus on correcting these types of images and use common faces across images to automatically perform both global and face-specific corrections.  ...  To summarize, the contributions of this article are: (1) the concept of the personal "prior": a small, identity-specific collection of good photos used for correcting flawed photographs, (2) a system that  ... 
doi:10.1145/1731047.1731050 fatcat:zsgnry5n4bgjdmqvnfyjbauxzy

Contextual Influences on Saliency [chapter]

Antonio Torralba
2005 Neurobiology of Attention  
The global scene features are then used to predict the probability of presence of the target object in the scene, and its location and scale, before exploring the image.  ...  In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the saliency of image regions and to provide an efficient shortcut for object  ...  In the central image, a person is embedded in the back-ground. The person is masked by the context and is difficult to find.  ... 
doi:10.1016/b978-012375731-9/50100-2 fatcat:aniylfinbvdp3ekxl7nbua44j4
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