Face Match for Family Reunification

2018 ◽  
pp. 735-753
Author(s):  
Eugene Borovikov ◽  
Szilard Vajda ◽  
Michael Gill
Keyword(s):  
Face Detection ◽  
Family Reunification ◽  
Face Image ◽  
Digital Photo ◽  
Photo Collections ◽  
The Many ◽  
Fir System ◽  
Post Disaster ◽  
Person Location ◽  
Variable Quality

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.

Face Match for Family Reunification

2017 ◽  
Vol 7 (2) ◽  
pp. 19-35
Author(s):  
Eugene Borovikov ◽  
Szilard Vajda ◽  
Michael Gill
Keyword(s):  
Face Detection ◽  
Family Reunification ◽  
Single Image ◽  
Digital Photo ◽  
Photo Collections ◽  
The Many ◽  
Fir System ◽  
Post Disaster ◽  
Person Location ◽  
Face Match

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.

Parallel Computing in Face Image Retrieval

2017 ◽  
pp. 155-189 ◽  
Author(s):  
Eugene Borovikov ◽  
Szilárd Vajda ◽  
Girish Lingappa ◽  
Michael C Bonifant
Keyword(s):  
Image Retrieval ◽  
Family Reunification ◽  
Face Image ◽  
Web Based ◽  
Digital Photo ◽  
Photo Collections ◽  
Retrieval Algorithms ◽  
Visual Query ◽  
Image Browsing ◽  
Processing Architectures

Modern digital photo collections contain vast multitudes of high-resolution color images, many containing faces, which are desirable to retrieve visually. This poses a problem for effective image browsing and calls for efficient Content Based Image Retrieval (CBIR) capabilities ensuring near-instantaneous visual query turn-around. This in turn necessitates parallelization of many existing image processing and information retrieval algorithms that can no longer satisfy the modern user demands, when executed sequentially. Hence a practical approach to Face Image Retrieval (FIR) is presented. It utilizes multi-core processing architectures to implement its major modules (e.g. face detection and matching) efficiently without sacrificing the image retrieval accuracy. The integration of FIR into a web-based family reunification system demonstrates the practicality of the proposed method. Several accuracy and speed evaluations on real-word data are presented and possible CBIR extensions are discussed.

Face Matching for Post-Disaster Family Reunification

2013 ◽  
Author(s):  
Eugene Borovikov ◽  
Szilard Vajda ◽  
Girish Lingappa ◽  
Sameer Antani ◽  
George Thoma
Keyword(s):  
Family Reunification ◽  
Face Matching ◽  
Post Disaster

Face and Eye Detection

2011 ◽  
pp. 5-44 ◽  
Author(s):  
Daijin Kim ◽  
Jaewon Sung
Keyword(s):  
Face Detection ◽  
Facial Expression Recognition ◽  
Face Image ◽  
Face Tracking ◽  
Expression Recognition ◽  
Human Face ◽  
Eye Detection ◽  
Face Image Analysis ◽  
Face Images ◽  
The Face

Face detection is the most fundamental step for the research on image-based automated face analysis such as face tracking, face recognition, face authentication, facial expression recognition and facial gesture recognition. When a novel face image is given we must know where the face is located, and how large the scale is to limit our concern to the face patch in the image and normalize the scale and orientation of the face patch. Usually, the face detection results are not stable; the scale of the detected face rectangle can be larger or smaller than that of the real face in the image. Therefore, many researchers use eye detectors to obtain stable normalized face images. Because the eyes have salient patterns in the human face image, they can be located stably and used for face image normalization. The eye detection becomes more important when we want to apply model-based face image analysis approaches.

Fast Face Detection Based on AdaBoost and Canny Operators

2014 ◽  
Vol 716-717 ◽  
pp. 936-939
Author(s):  
Lin Zhang
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Face Image ◽  
Experimental Results ◽  
Detection Accuracy ◽  
Human Face ◽  
Adaboost Algorithm ◽  
Amount Of Information ◽  
Detection Speed

Detection speed of traditional face detection method based on AdaBoost algorithm is slow since AdaBoost asks a large number of features. Therefore, to address this shortcoming, we proposed a fast face detection method based on AdaBoost and canny operators in this paper. Firstly, we use canny operators to detect edge of face image which separates the region of the possible human face from image, and then do face detection in the separated region using Modest AdaBoost algorithm (MAB). Before using MAB to achieve face detection, utilizing canny operators to detect edge can make this algorithm effectively filter information, retain useful information, reduce the amount of information and improve detection speed. Experimental results show that the algorithm can obtain higher detection accuracy and detection speed has been significantly improved at the same time.

scholarly journals The Role of Architects in Post Disaster Reconstruction

2021 ◽  
Author(s):  
◽  
Jessica Hulme
Keyword(s):  
Tropical Cyclone ◽  
Affordable Housing ◽  
Construction Materials ◽  
Field Research ◽  
Living Situation ◽  
Underdeveloped Countries ◽  
Architectural Framework ◽  
To Come ◽  
The Many ◽  
Post Disaster

<p>In post-disaster reconstruction in underdeveloped countries, architects all too often create design solutions with little appreciation of the environment in which their solutions are expected to work. The disaster context for reconstruction is complex and irregular. Issues vary from lack of available resources; difficulty in transporting resources, inflation of costs for construction materials, corruption in the allocation of aid money and resources, language barriers, and the complexity of architects needing to meet the local socio-economic and cultural norms of each particular community. These are but a few of the complexities that need to be addressed when working in post-disaster reconstruction.  This paper draws on grounded theory field research and analysis of reconstruction efforts in Samoa after the tsunami in 2009 and category 2 Tropical Cyclone Evan (TC Evan) in 2012,; and category 5 Tropical Cyclone Winston (TC Winston) that devastated Fiji in 2016. This paper measures this research and analysis against literature and research and analysis of other post-disaster reconstruction case studies to come up with design iterations that are viable for the post-disaster context of Nanokonoko village, Viti Levu, Fiji.  This thesis investigates the ways that the architectural process of design can be used so that post-disaster communities have access to adequate, self-sustainable, and affordable housing. It does so by identifying the gaps and potential barriers that are created along the rebuilding work flow, then analyses and recommends an improved process for post-disaster reconstruction in underdeveloped countries for the architect and architecture to follow. By adopting the recommended process of reconstruction, the living situation of communities will significantly improve immediately following the disaster and in the long-term.  This thesis also explores the many other value adding roles that the architectural framework can benefit reconstruction through. By ensuring designs are culturally and socio-economically viable to the rural village of Nanokonoko and engages with the affected community in the early stages of recovery.</p>

scholarly journals The Role of Architects in Post Disaster Reconstruction

2021 ◽  
Author(s):  
◽  
Jessica Hulme
Keyword(s):  
Tropical Cyclone ◽  
Affordable Housing ◽  
Construction Materials ◽  
Field Research ◽  
Living Situation ◽  
Underdeveloped Countries ◽  
Architectural Framework ◽  
To Come ◽  
The Many ◽  
Post Disaster

<p>In post-disaster reconstruction in underdeveloped countries, architects all too often create design solutions with little appreciation of the environment in which their solutions are expected to work. The disaster context for reconstruction is complex and irregular. Issues vary from lack of available resources; difficulty in transporting resources, inflation of costs for construction materials, corruption in the allocation of aid money and resources, language barriers, and the complexity of architects needing to meet the local socio-economic and cultural norms of each particular community. These are but a few of the complexities that need to be addressed when working in post-disaster reconstruction.  This paper draws on grounded theory field research and analysis of reconstruction efforts in Samoa after the tsunami in 2009 and category 2 Tropical Cyclone Evan (TC Evan) in 2012,; and category 5 Tropical Cyclone Winston (TC Winston) that devastated Fiji in 2016. This paper measures this research and analysis against literature and research and analysis of other post-disaster reconstruction case studies to come up with design iterations that are viable for the post-disaster context of Nanokonoko village, Viti Levu, Fiji.  This thesis investigates the ways that the architectural process of design can be used so that post-disaster communities have access to adequate, self-sustainable, and affordable housing. It does so by identifying the gaps and potential barriers that are created along the rebuilding work flow, then analyses and recommends an improved process for post-disaster reconstruction in underdeveloped countries for the architect and architecture to follow. By adopting the recommended process of reconstruction, the living situation of communities will significantly improve immediately following the disaster and in the long-term.  This thesis also explores the many other value adding roles that the architectural framework can benefit reconstruction through. By ensuring designs are culturally and socio-economically viable to the rural village of Nanokonoko and engages with the affected community in the early stages of recovery.</p>

scholarly journals WEB-BASED PERSONAL DIGITAL PHOTO COLLECTIONS: MULTIMODAL RETRIEVAL

2010 ◽  
Vol 10 (1) ◽  
pp. 49-57
Author(s):  
Nor Azman Ismail ◽  
Ann O'Brien
Keyword(s):  
User Study ◽  
Multimodal Interaction ◽  
Prototype System ◽  
Web Based ◽  
Digital Photo ◽  
Photo Collections ◽  
It Architecture ◽  
Multimodal Retrieval ◽  
Data Files ◽  
Retrieval Engine

When personal photo collections get large retrieval of specific photos or sets of photos becomes difficult mainly due to the fairly primitive means by which they are organised. Commercial photo handling systems help but often have only elementary searching features. In this paper, we describe an interactive web-based photo retrieval system that enables personal digital photo users to accomplish photo browsing by using multimodal interaction. This system not only enables users to use mouse click input modalities but also speech input modality to browse their personal digital photos in the World Wide Web (WWW) environment. The prototype system and it architecture utilise web technology which was built using web programming scripting (JavaScript, XHTML, ASP, XML based mark-up language) and image database in order to achieve its objective. All prototype programs and data files including the user’s photo repository, profiles, dialogues, grammars, prompt, and retrieval engine are stored and located in the web server. Our approach also consists of human-computer speech dialogue based on photo browsing of image content by four main categories (Who? What? When? and Where?). Our user study with 20 digital photo users showed that the participants reacted positively to their experience with the system interactions.

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