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Face Detection
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Definition and related algorithms Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars. Face detection simply answers two question, 1. are there any human faces in the collected images or video? 2. where is the face located? Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. A reliable face-de ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Facial Recognition , an automated system with the ability to identify individuals by their facial characteristics
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Facial recognition or face recognition may refer to: *Face detection, often a step done before facial recognition *Face perception, the process by which the human brain understands and interprets the face *Pareidolia, which involves, in part, seeing images of faces in clouds and other scenes *Facial recognition system A facial recognition system is a technology potentially capable of matching a human face from a digital image or a Film frame, video frame against a database of faces. Such a system is typically employed to authenticate users through ID verif ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Human Sensing
Human sensing (also called human detection or human presence detection) encompasses a range of technologies for detecting the presence of a human body in an area of space, typically without the intentional participation of the detected person. Common applications include search and rescue, surveillance, and customer analytics (for example, people counters). Modern technologies proposed or deployed for human sensing include: * Audio signal processing, Acoustic sensors * Computer vision#Bababoui, Image recognition of human shapes * Thermographic camera, Infrared detectors * Sensing floor, Pressure-sensitive floor tiles * Radar * Sensor#Chemical sensor, Chemical sensors * Detection of the mobile phone, computer, Bluetooth, or Wi-Fi signals of a device assumed to be in the possession of a person. *WiFi Sensing Examples In 1997 CAPTCHA ("Completely Automated Public Turing test to tell Computers and Humans Apart") was invented. A test is presented to detect that a computer is being use ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Visage SDK
Visage SDK (distributed as visage SDK) is a multi-platform software development kit (SDK) created by Visage Technologies AB. Visage SDK allows software programmers to build facial motion capture and eye tracking applications. Technologies Face Track Face Track tracks 3D head poses, facial features, and eyes/gaze for multiple faces in a camera stream or from a video file. Face Track has configurable packages that include: facial tracking, face and facial landmarks/features detection, head tracking, and eye tracking. Face Analysis Face Analysis includes machine learning algorithms to determine gender, emotions and age. Face Analysis is compatible with Face Track to find/track faces in images or video, determine gender, emotions, and age for a specified face. Face Recognition Face Recognition is used to identify or verify a person from a digital image or a video source using a pre-stored facial data. Visage SDK's face recognition algorithms can measure similarities ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
TSL Color Space
TSL may refer to: Business *Trina Solar Limited, a Chinese solar power company traded on the New York Stock Exchange under the ticker "TSL" *The Software Link, a defunct software company *TSL Limited, a Zimbabwean company *Transformer Specialties Ltd (TSL), a New Zealand manufacturer Games and sports *The Spring League, a developmental American football organization *The Silver Lining (video game), a 2010 fan-created game based on the Kings Quest series *''Star Wars: Knights of the Old Republic II The Sith Lords'', a video game *''Teen Second Life'', a version of ''Second Life'' reserved for teenagers *Tasmanian Football League, Tasmanian State League, the premier Australian rules football competition in Tasmania, a state of Australia *Turkish Süper Lig, the top-flight league in Turkish nationwide football *Team Liquid#Team_Liquid_Starleague, Team Liquid Starleague professional gaming tournament for Starcraft 2 by Team Liquid Language * Taiwanese Sign Language, used in Taiwan * ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Three-dimensional Face Recognition
Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition. 3D face recognition has the potential to achieve better accuracy than its 2D counterpart by measuring geometry of rigid features on the face. This avoids such pitfalls of 2D face recognition algorithms as change in lighting, different facial expressions, make-up and head orientation. Another approach is to use the 3D model to improve accuracy of traditional image based recognition by transforming the head into a known view. Additionally, most 3D scanners acquire both a 3D mesh and the corresponding texture. This allows combining the output of pure 3D matchers with the more traditional 2D face recognition algorithms, thus yielding better performance (as shown iFRVT ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Super Recogniser
''Super recogniser'' is a term coined in 2009 by Harvard and University College London researchers for people with significantly better-than-average face recognition ability. Super recognisers are able to memorise and recall thousands of faces, often having seen them only once. Skill It is the extreme opposite of prosopagnosia. It is estimated that 1 to 2% of the population are super recognisers who can remember 80% of faces they have seen compared to 20% in the general population, but these figures are disputed. Super recognisers can match faces better than computer recognition systems in some circumstances. The science behind this is poorly understood but may be related to the fusiform face area part of the brain. Practical applications The skill is recognised and employed among the British intelligence community. In May 2015, the London Metropolitan Police officially formed a team made up of people with this heightened capability for recognising people and put them to work ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
SceneTap
SceneTap, previously known as BarTabbers, was a data analytics, marketing services, and mobile application company launched in 2010. SceneTap started in Chicago, Illinois, and is currently based in Austin, Texas. The tool allows end users to view real-time data on crowd sizes, gender ratios, and the average age of patrons in a given location. In addition, it allows establishments to post live coupons and specials for users to purchase. Application and Website SceneTap offers an administrative platform to operators of establishments, allowing operators to view reports and charts on their customers. Data is fed to its mobile application and website allowing users to view data on social venues such as bars, lounges, and coffee shops. The current network is primarily based in Chicago, IL, Bloomington, IN, and Austin, with expansion areas including Boston, Columbus, Ohio, New York, and Miami. The service most recently launched in San Francisco San Francisco, officially the C ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Picasa
Picasa was a cross-platform image organizer and image viewer for organizing and editing digital photos, integrated with a now defunct photo-sharing website, originally created by a company named Lifescape (which at that time was incubated by Idealab) in 2002."Google Picasa", Obsessable (obsessable.com), 2009. "Picasa" is a blend of the name of Spanish painter Pablo Picasso, the word ''casa'' (Spanish for "house") and "pic" for pictures. Native applications for Windows XP, Windows Vista, Windows 7, and macOS were available. Linux support was provided by bundling the Windows version alongside the Wine compatibility layer. An iPhoto plugin and a standalone program for uploading photos were available for Mac OS X 10.4 and later. In July 2004, Google acquired Picasa from Lifescape and began offering it as freeware. The name was also registered by Google as an LLC. On February 12, 2016, Google announced it was discontinuing support for Picasa Desktop and Picasa Web Albums, e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Pedestrian Detection
Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. It has an obvious extension to automotive applications due to the potential for improving safety systems. Many car manufacturers (e.g. Volvo, Ford, GM, Nissan) offer this as an ADAS option in 2017. Challenges * Various style of clothing in appearance * Different possible articulations * The presence of occluding accessories * Frequent occlusion between pedestrians Existing approaches Despite the challenges, pedestrian detection still remains an active research area in computer vision in recent years. Numerous approaches have been proposed. Holistic detection Detectors are trained to search for pedestrians in the video frame by scanning the whole frame. The detector would “fire” if the image features inside the local search window meet certain criteria. Some methods employ glo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Face ID
Face ID is a Biometrics, biometric authentication facial recognition system, facial-recognition system designed and developed by Apple Inc. for the iPhone and iPad Pro. The system can be used for unlocking a device, making Apple Pay, payments, accessing sensitive data, providing detailed Facial motion capture, facial expression tracking for Animoji, as well as six degrees of freedom (6DOF) head-tracking, eye-tracking, and other features. Initially released in November 2017 with the iPhone X, it has since been updated and introduced to all iPhones outside of IPhone SE, SE models and all iPad Pro models from 2018 onwards. Users on iOS 18 and newer can choose to lock specific apps, requiring Face ID to access them. The Face ID hardware uses a TrueDepth Camera that consists of a sensor with three modules; a laser dot projector that projects a grid of small infrared dots onto a user's face, a module called the flood illuminator that shines infrared light at the face, and an infrared ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
