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Topic: Face detection

In the News (Tue 2 Dec 08)

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	Fujifilm FinePix F40fd: Digital Photography Review
		Face Detection ensures the camera prioritises faces in the frame above other details; even if those details are a more obvious focus point.
		Because the technology is hard-wired to the camera’s processor, it is capable of detecting faces and taking a photo in an industry-leading 0.05 seconds.
		Face Detection works by triangulating eyes and mouth, using an algorithm to optimise focus and exposure for up to ten faces in a single frame.
	www.dpreview.com /news/0701/07010402fujifilmfinepixf40fd.asp (1297 words)

	Canon Svenska - Teknik för ansiktsavkänning och ISO 1600 till PowerShot A-serien
		Face Detection AF/AE väljer upp till nio ansikten, fastställer om ett ansikte är motivets huvudobjekt och ställer in rätt skärpa och exponering.
		Canons Face Detection AF/AE/FE upptäcker automatiskt upp till nio ansikten i bildramen innan fokus, exponering och blixt justeras för bästa resultat.
		Canons Face Detection-teknik ger AF/AE prioritet till ansikten i bilden, medan Face Detection FE justerar blixten för lämplig exponering och optimal ljusstyrka för ansiktet.
	www.canon.se /For_Home/news_PSA570IS.asp (1044 words)

	Face Detection Project
		Neural Network-Based Face Detection, by Henry A. Rowley, Shumeet Baluja, and Takeo Kanade.
		Rotation Invariant Neural Network-Based Face Detection, by Henry A.
		MIT Media Lab's work on face detection and recognition using eigenfaces and related probabilistic methods.
	vasc.ri.cmu.edu /NNFaceDetector (487 words)

	Face Detection (Site not responding. Last check: )
		Face Detection is still a challenging and vital topic in the field of pattern recognition and computer vision.
		Face detection always remains a crucial problem to handle but it can be stated in a very simple manner.
		Thus face detection is basically a classification problem where classification is required to be done between face and non face.
	b.1asphost.com /amathur/facedetection.html (377 words)

	Face detection - Wikipedia, the free encyclopedia
		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.
		That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.
		Face detection is used in biometrics, often as a part of (or together with) a facial recognition system.
	en.wikipedia.org /wiki/Face_detection (482 words)

	Face Detection: Facial Geometry and Color
		In addition to knowing where the face is located, it is useful to detect the location of sub-components such as the eyes, mouth, nose, and eyebrows.
		After faces are detected based on the grayscale image, color within the region of each face is used to further discriminate between possible faces as outlined below.
		Their restraints are even more restrictive than for the mouth to ensure that the regions lie in valid places for a face and the scores are also based on their distance from the base line as some fraction of the distance to between the eyes (0.6 and 0.3 for the nose and eyebrows, respectively).
	members.fortunecity.com /travisandkat/faces (1686 words)

	Abstract
		The system relies on a two step process which first detects regions which are likely to contain human skin in the color image and then extracts information from these regions which might indicate the location of a face in the image.
		Often this causes problems in the face detection when a large red or yellow p atterned object is present in the image.
		Detection of face regions was broken into two parts, the first using the Khoros visual programming application and the second part using a MATLAB program.
	www.geocities.com /jaykapur/face.html (2057 words)

	Fujifilm Debuts FinePix Digital Camera With Face Detection Technology - PopPhoto - July 2006
		Once faces are identified and prioritized, the 6.3-megapixel FinePix S6000fd adjusts its focus and exposure accordingly to ensure the sharpness and clarity of human subjects in the picture, regardless of background.
		Face Detection is a selectable option the camera user can turn on whenever human subjects are the focal point of a picture.
		Face Detection Technology is the latest addition to Fujifilm’s suite of Real Photo Technology digital camera components that work together on the FinePix S6000fd to help produce the best possible photos.
	popphoto.com /photonews/2624/fujifilm-debuts-finepix-digital-camera-with-face-detection... (575 words)

	The New Fuji Finepix S6000FD with face detection technology
		Once faces are identified and prioritized, the camera adjusts its focus and exposure accordingly to ensure the sharpness and clarity of human subjects...
		Once faces are identified and prioritized, the 6.3 MegaPixel FinePix S6000fd adjusts its focus and exposure accordingly to ensure the sharpness and clarity of human subjects in the picture, regardless of background.
		Face Detection Technology is the latest addition to Fujifilm's suite of Real Photo Technology digital camera components that work collaboratively on the FinePix S6000fd to produce the best possible photographs.
	www.dcviews.com /press/Fuji-S6000FD.htm (561 words)

	VLSI Systems Laboratory, Old Dominion University
		Face detection is the first step in human face recognition and video surveillance.
		A face detection and tracking algorithm from color images in the presence of varying lighting conditions as well as complex background environment is being developed in the VLSI Systems Laboratory.
		It is envisaged that the new method leads to successful detection of faces over a wide range of facial variations in color, position, scale, rotation, pose, and expression.
	www.lions.odu.edu /~vasari/vlsi/facedetection.html (859 words)

	AFR System Demo (Site not responding. Last check: )
		The process of face detection and alignment consists of a two-stage object detection and alignment stage, a contrast normalization stage, and a feature extraction stage whose output is used for both recognition and coding.
		A second feature detection stage operates at this fixed scale to estimate the position of 4 facial features: the left and right eyes, the tip of the nose and the center of the mouth.
		Once the facial features have been detected, the face image is warped to align the geometry and shape of the face with that of a canonical model.
	vismod.media.mit.edu /vismod/demos/facerec/system.html (451 words)

	Learning-Based Computer Vision with Intel's Open Source Computer Vision Library
		Object detection, and in particular, face detection is an important element of various computer vision areas, such as image retrieval, shot detection, video surveillance, etc. The goal is to find an object of a pre-defined class in a static image or video frame.
		To detect faces of different size it is possible to scale the image, but the classifier has the ability to “scale” as well.
		Every such classifier, called a weak classifier, is not able to detect a face; rather, it reacts to some simple feature in the image that may relate to the face.
	www.intel.com /technology/itj/2005/volume09issue02/art03_learning_vision/p04_face_detection.htm (2079 words)

	Fujifilm launches FinePix F31fd with face detection
		Face Detection has great impact on people photography, ensuring the camera automatically focuses on and exposes for faces, rather than details that can confuse other cameras.
		Identifying up to 10 faces in a frame, Face Detection Technology ensures photos of friends and family are crisp, clear and properly exposed for a natural feel.
		It has an advantage over the few other face detection systems currently on the market as the technology is built-in to the camera's processor, enabling the FinePix F31fd to identify faces and optimize settings within a scant 0.05 seconds.
	www.dcviews.com /press/Fujifilm-F31fd.htm (735 words)

	Face Detection/Recognition
		In this project, both classical and state of the art techniques are studied and applied on both face detection and face recognition.
		Eigenfaces were first introduced in early 90s, the idea is to reduce each face image to a vector, then uses Principal Component Analysis (PCA) to find the space of faces.
		There are no direct method to get the optimal number of eigenfaces, one way to infer the approximate number of eigenfaces is to use validation dataset to determine at what point the rates gets decreased, that point is approximately the point where it gets overfitted, which is also around the optimal number.
	www.cs.washington.edu /homes/kzheng/projects/facedetection.shtml (422 words)

	Information about Nue TU-Berlin Face Detection
		This face detector is a component-based face detector.
		The advantage of the component based face detection, compared to holistic approaches, is a higher robustness especially in cases where parts of the face are occluded.
		It cannot be guaranteed that every face component has been detected and therefore it is very likely that some of the face components are missing in the connected components which are supposed to be a face.
	facedetection.nue.tu-berlin.de /information.html (404 words)

	NEWS! - Fujifilm announces Z-series with face detection
		With the feature enabled, the camera indicates the faces detected in the scene by framing them with rectangles in the display - white for all but the top priority face, which is framed in green.
		The locations of faces are then used by the Fuji Z5fd to confirm the appropriate location for focus and exposure detection, so as to ensure that your subject is correctly focused even when off center.
		Face Detection Technology can cope with back-lit scenes such as concerts, settings where there's a more obvious focus point between people's faces or when the subject is off center, and it also comes in handy for capturing the perfect self portrait, which can easily be posted to a blog or webpage.
	www.imaging-resource.com /NEWS/1165528619.html (1582 words)

	Fujifilm Debuts FinePix Digital Camera With Face Detection Technology - - PopPhotoJuly 2006
		Face Detection is a selectable option the camera user can turn on whenever human subjects are the focal point of a picture.
		Face Detection Technology is the latest addition to Fujifilm’s suite of Real Photo Technology digital camera components that work together on the FinePix S6000fd to help produce the best possible photos.
		Together, the Face Detection and i-Flash technologies is said to produce photographs with prominent subjects exhibiting pleasing, natural tones.
	www.popphoto.com /photonews/2624/fujifilm-debuts-finepix-digital-camera-with-face-detection-technology.html (566 words)

	Face Detection and Recognition (Site not responding. Last check: )
		Some approaches are only good for one face per image, while others can detect multiple faces from an image with greater price to pay in terms of training.
		Faces with different sizes located in any part of an image can be detected using this approach.
		Face recognition is challenging because variations can be introduced to the pattern of a face by varying pose, lighting, scale, and expression.
	www.cs.ualberta.ca /~yang/Projects/face_detection_and_recognition.htm (336 words)

	Face Detection and Localization (Site not responding. Last check: )
		A robust scheme is needed to detect the face as well as determine its precise placement to extract the relevant data from an input image.
		By isolating each face, transforming it into a standard frontal mug shot pose and correcting lighting effects, we limit the variance in its intensity image description to the true physical shape and texture of the face itself.
		Each of the possible pairs of eyes detected in the face are examined one at a time to see if they are in an appropriate position with respect to the facial contour.
	www1.cs.columbia.edu /~jebara/htmlpapers/UTHESIS/node30.html (1043 words)

	Advances in Face Processing: Detection and Recognition
		The face recognition tutorial is mainly based on a recent survey paper [1] co-authored by the first presenter.
		The face detection tutorial is mainly based on a recent survey paper [2] and a book [3] co-authored by the second presenter.
		Connection between face detection and generic object detection: give motivation of the face detection problem as a step toward generic object detection/recognition.
	www.ee.surrey.ac.uk /icpr2004/tutorials/AdvancesFaceProcessing_000.htm (723 words)

	Leiden: Face Detection & Recognition
		The goal of this ongoing project is to formulate paradigms for detection and recognition of human faces in complex backgrounds.
		Typically, face detection is first performed on an image to obtain the locations of the faces.
		This means that the detection rates are based on each individual face having a fuzzy cloud in the sample space - one individual face generates many templates which are classified as faces.
	www.liacs.nl /home/lim/face.detection.html (860 words)

	Face Detection with SpikeNET
		Each image was propagated through the network and the patterns obtained in the orientation layer around the right, left eyes and mouth were then averaged, leading to a set of weights for each feature to be learned.
		The 3 feature-detection maps were then connected to the face-detection map using simple gaussian patterns, leading to a "structural description" of the face in terms of its component features.
		For each database and each detection map, the percentage indicates the detection rate, the number in brackets indicates the false detection number.
	www.klab.caltech.edu /~rufin/WebFace.html (495 words)

	Face Detection
		After applying motion detection and heuristics, we have a fairly good indication of where there may be a human face present.
		However, we still need to determine if the object we have detected is a face.
		A face is deemed present at the frame with the smallest reconstruction error.
	www.hig.no /~erikh/papers/hig98_6/node4.html (369 words)

	Face Detection (Site not responding. Last check: )
		Fast, accurate detection of faces in images is an important part of any system that can recognize people's faces.
		The training set of faces is modelled as a set of 6 elliptical Gaussian clusters in a high dimensional (pixel-based) feature space; the images are 19x19 but the mask reduces the dimension to 283 pixels.
		When the system is given an image in which to find the faces, it takes each subwindow of the image, rescales them to 19x19, applies the preprocessing steps, and computes the distance measures.
	cbcl.mit.edu /cbcl/res-area/object-detection/face-detection.html (422 words)

	Visics Research - Face detection
		We limited ourselves to the detection of frontal, upright positioned faces, but the techniques are, at least in principle, extendable to faces of any orientation.
		We've extended their classification technique by incorporating an estimation of the density of non-faces in the neighbourhood of the face class (it is practically impossible to estimate the density of the entire non-face class due to its ill defined nature).
		It's important to note that for the comparison to be objective, we trained both the Probabilistic Classification and the SVM with the same training set of face images, and we evaluated their performance on 3 different test sets which were chosen independently from the training data.
	www.esat.kuleuven.ac.be /psi/visics/research/topics/item_2.4.php (562 words)

	Face Detection and Neural Networks
		The output value is a number which represents the probability that the image is a face: 1 for face, 0 for not a face.
		The 10 faces were chosen to represent different age groups, skin tones, and genders.
		The faces were chosen by race and gender to match proportionately to the 2000 US Census statistics.
	www.math.umn.edu /~wittman/faces/main.html (666 words)

	Face Feature Detection & Morphing (Site not responding. Last check: )
		The face detector is not always able to detect the faces.
		If however we are not able to detect the eyes, we assume the eyes to be in the top left hand side of the image and the other eye to be in the top right hand side of the image.
		It was given that genrally the distance between the eyes is proportional to the distance between the lips and the forehead.
	www.cse.iitd.ernet.in /~csd02438/old/DIP2/DIP.htm (635 words)

	Cmput 340 - Introduction to Numerical Methods
		In this project, your task is to design an effective face detecting program in matlab.
		Face detection is a long-existing and very-active research fields.
		Face Recognition Home Page (this topic share a lot with face detection).
	ugweb.cs.ualberta.ca /~c340/projects/p_face.htm (963 words)

	Fujifilm Press Center - News: Digital Cameras - FACE DETECTION: THE LATEST ADDITION TO FUJIFILM'S REAL PHOTO TECHNOLOGY ...
		Once Face Detection is activated, it automatically identifies faces in the scene and prioritizes them -- in as little as 0.05 seconds.
		Since Face Detection is an integral part of Fujifilm's Real Photo Technology system, it also is linked to Fujifilm's i-Flash intelligent flash system, for the proper exposure of flash pictures taken indoors and in low light.
		Even if the subject is off to one side, the FinePix S6000fd, with Face Detection Technology activated, will automatically focus on the person rather than trees in the background or objects in the foreground that may happen to fall in the center of the frame.
	fujifilmusa.com /JSP/fuji/epartners/PRNewsDetail.jsp?DBID=NEWS_856318 (757 words)

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