FACIAL CODING FOR EMOTIONAL INTERACTION ANALYSIS - Sensory Logic, Inc. This application claims priority to U.S. Provisional Application No. 61/233,625, filed on Aug. 13, 2009, the contents of which is hereby incorporated by reference in its entirety. The present disclosure relates to methods of measuring and analyzing consumer reaction to marketing stimuli. The present disclosure further relates to using facial muscles to measure and analyze consumer reaction to marketing stimuli. More particularly, the present disclosure relates to use of temporal and weighted analysis techniques to improve the process by which emotional reactions are determined from facial muscle data collected during exposure of consumers to the marketing stimuli. Traditional market research to date has mostly relied on verbal input and ratings. However, advances in neurobiology have confirmed that people are largely emotional, subconscious (intuitive) decision-makers. Several methods exist for reading the facial muscles of an individual when exposed to a stimulus to assign AUs.
Method for using facial expression to determine affective information in an imaging system - Eastman Kodak Company. Reference is made to commonly assigned U.S. patent application Ser. No. 09/721,222, filed Nov. 22, 2000, entitled “Method for Adding Personalized Metadata to a Collection of Digital Images” by Kenneth A. Parulski et al., now U.S. Pat. No. 6,629,104 issued Sep. 30, 2003; Ser. No. 10/036,113, filed Dec. 26, 2001, entitled “Method for Creating and Using Affective Information in a Digital Imaging System” by Tomasz Matraszek et al; Ser. No. 10/036,123, filed Dec. 26, 2001, entitled “Method for Using Affective Information Recorded With Digital Images for Producing an Album Page” by Tomasz Matraszek et al; Ser. The present invention relates to imaging systems and, more particularly, to systems which monitor a user's facial expression to determine the user's reaction to digital images.
Currently, the usage of the Internet or personal computers and printing devices for picture printing, sharing and storage is growing. A) displaying a digital image for viewing by a user; Facial expression recognition apparatus and facial expression recognition method thereof - Novatek Microelectronics Corp. This application claims the benefit of Taiwan application Serial No. 98114480, filed Apr. 30, 2009, the subject matter of which is incorporated herein by reference. 1. Field of the Invention The invention relates in general to a facial expression recognition apparatus and a facial expression recognition method thereof, and more particularly to a facial expression recognition apparatus having the low operation loading, and a facial expression recognition method thereof. 2. Description of the Related Art In the life, people often express the inward emotion through the facial expression. The smiling face detection is one of the important items of the facial expression detection, and its processing methods may be divided into the face feature detection technology and the classifier technology.
However, the conventional facial expression detection technology has the great operation loading, and cannot be easily used in an embedded platform (e.g., a digital camera). System and method for biometrics-based facial feature extraction - Koninklijke Philips Electronics N.V. The present invention pertains generally to the field of detecting human faces, and in particular, the invention relates to a system and method for locating facial features in a digital image using biometrics information.
Systems and methods are known that analyze digital images and recognize human faces. Extraction of facial feature information has been used for various applications such as in automated/surveillance systems, monitoring systems, human interfaces to computers, television and video signal analysis. Conventional facial detection systems use methods such as facial color tone detection, template matching or edge detection approaches. There are, however, numerous shortcomings to these types of conventional systems.
In general, these conventional systems lack robustness, e.g., due to variations in human races, facial expression and lighting conditions. Conventional systems using edge detection are also known. Referring now to , a facial feature extraction system is shown. System and method for expression mapping - Microsoft Corp. 1. Technical Field This invention is directed toward a system and process for facial expression mapping. More particularly, this invention is related to a system and process for mapping an expression on a face in one image to another face in another image. 2. Background Art Facial expressions exhibit not only facial feature motions, but also subtle changes in illumination and appearance (e.g., facial creases and wrinkles).
These details are important visual cues, but they are difficult to synthesize. One class of methods to generate facial expressions with details is the morph-based approaches and their extensions [2, 14, 16,3]. Another popular class of techniques, known as expression mapping (or performance-driven animation) [4, 10,20, 13], does not have such limitation.
There has been much other work done in the area of facial expression synthesis. As stated above, the system and process according to the present invention aligns the faces in the first, second and third images. The ERI, System and method for automatically detecting neutral expressionless faces in digital images - International Business Machines Corporation. This invention relates to the field of processing and interpreting of digital images and video that contain human faces. More specifically, this invention relates to the detection, recognition and facial expression classification of the appearances of human faces in digital images and video. A neutral expressionless face is a relaxed face without contraction of facial muscles and without facial movements.
It is the state of people's face most of the time. The appearance of a neutral face is needed for all existing automated facial expression analysis systems. Face detection and normalization are often used techniques in the general area of image and video processing. The accurate detection of human faces in arbitrary scenes is the most important process involved. Kah-Kay Sung and T. These references are incorporated by reference in its entirety. Oftentimes, face normalization is a necessary preprocessing step for face recognition and facial expression analysis. P. T. Y. U.S. M. Emotional state modification method and system - Lowe, Kenneth.
This application claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 60/511,035 filed on Oct. 14, 2003 and entitled “COMPUTER AIDED MODIFICATION OF A GENERAL BEHAVIOR VIA SHAPING AND REINFORCEMENT,” the complete disclosure of which is incorporated herein by reference. A computer program listing appendix is submitted herewith on compact disc recordable (CD-R) as Appendix A. Duplicate copies of Appendix A are provided as Copy 1 and Copy 2.
The materials on the CD-R are identical to each other. The files on the compact discs are incorporated herein by reference, and are listed below: 1. The present invention in its various aspects generally relates to the fields of psychology, education, personal health care, and emotional and motivational therapy, as well as to data collection and retrieval systems and methods. 2. Historically, it was believed that rational thought played the greatest role in an individual's success and happiness in life. 3. Facial Analysis Techniques - Microsoft Corporation. Recently, face recognition has attracted much research effort due to increasing demands of real-world applications, such as face tagging on the desktop or the Internet. There are two main kinds of face recognition tasks: face identification (who is who in a probe face set, given a gallery face set) and face verification (same or not, given two faces). One of the challenges for face recognition is finding efficient and discriminative facial appearance descriptors that are resistant to large variations in illumination, pose, face expression, aging, face misalignment and other factors.
Current descriptor-based approaches uses handcrafted encoding methods to encode a relative intensity magnitude between each pixel and its neighboring pixels to identify a face. User desire to improve upon such handcrafted encoding methods to obtain an effective and compact face descriptor for face recognition across different datasets. FIG. 2 illustrates four sampling patterns. AUTOMATED FACIAL DETECTION AND EYE TRACKING TECHNIQUES IMPLEMENTED IN COMMERCIAL AND CONSUMER ENVIRONMENTS - 3G STUDIOS, INC. The present application claims benefit, pursuant to the provisions of 35 U.S.C. § 1 19, of U.S. Provisional Application Serial No. 61/504,141 (Attorney Docket No. 3GSTP001P), titled "USER BEHAVIOR, SIMULATION AND GAMING TECHNIQUES", naming Kosta et al. as inventors, and filed 01 -JUL-201 1 , the entirety of which is incorporated herein by reference for all purposes.
The present disclosure relates to facial detection and eye tracking. More particularly, the present disclosure relates to automated facial detection and eye tracking techniques implemented in commercial and consumer environments. Figure 1 illustrates a simplified block diagram of a specific example embodiment of a portion of a Computer Network 100 Figure 2 is a simplified block diagram of an exemplary gaming machine 200 in accordance with a specific embodiment. Figure 3 shows a diagrammatic representation of machine in the exemplary form of a client (or end user) computer system 300. • Client Computer System (s) 130 o Etc. • etc. Facial feature evaluation based on eye location - Battelle Memorial Institute.
The present invention relates to facial feature evaluation, and more particularly, but not exclusively is directed to multispectral facial interrogation techniques for locating the eyes and/or related facial features. Viable facial recognition techniques continue to be of interest in many applications; including but not limited to, security screening, transaction authorization, access control, and the like. Unfortunately, many existing systems suffer from high rates of misidentification, excessive complexity, large conspicuous device size, and/or slow processing times. Accordingly, there is an ongoing demand for further contributions in this area of technology. One embodiment of the present invention is a unique facial feature recognition technique. Other embodiments include unique systems, devices, methods, and apparatus to interrogate, recognize, and/or locate facial features.
FIG. 1 is a partial, diagrammatic view of a facial evaluation system. Facial recognition system for security access and identification - Coffin, Jeffrey S. Biometric techniques for determining the identity of individuals, such as in security applications, have been well known and in use for some time. To date, biometric techniques have primarily been oriented towards fingerprint analysis rather than the visual recognition of facial images. Identification using infrared thermal imaging has been a more recent phenomena. For example, Rice, in U.S. Pat. No. 4,699,149, taught the scanning of subcutaneous blood vessels by measuring the inflection of incident radiation as a technique for determining a person's identification signature. However, active heating of the area being scanned was required in order to get an accurate scan. However, several aspects of the systems have not been dealt with: automatically positioning a camera or other, biosensor, enhancing identification accuracy through class sorting, and identifying individual facial features from those subjects wearing eyeglasses.
The main menu is presented at step 11. Face detection using templates - University of Central Florida. Humans are generally able to categorize a person to a precise age group based on an image of the person's face. Humans also have the capability of recognizing familiar faces as well as recognizing facial expressions. For computers to have these visual capabilities would represent a major commercial advantage. However, current computer vision systems lack the ability of finding faces in images and completing facial analysis. U.S. Pat. Using computer vision to analyze for faces and to interpret facial-expressions, can be used in various application areas such as but not limited to the gathering of population and age-statistics from patrons at entertainment/amusement parks and television network viewer-rating studies. Current problems exist with manual operated cameras. Another problem exists where computers are interacting and responding to human users.
The first objective of the present invention is to provide an automatic method for detecting a human face from a digital image. where. FACIAL RECOGNITION USING A SPHERICITY METRIC - RAYTHEON COMPANY. [0001] This application claims priority to U.S. Non-Provisional Patent Application Serial No. 12/967,641, filed December 14, 2010. [oooi] Embodiments of the subject matter described herein relate generally to facial recognition systems and methods, and more particularly to using multiple two-dimensional images to composite three-dimensional point features, and to using a sphericity metric to compare a subject's face to a target's face. [0002] Current facial recognition techniques require large amounts of processing power to compare a subject's face to a target's face. Furthermore, current facial recognition techniques are vulnerable, for example, to changes in lighting and differences in angles and distances between a subject and photographs of targets the subject is being compared to.
Further still, current facial recognition techniques require large amounts of data to be stored for each target. [0004] In accordance with one embodiment, a facial recognition system is provided. Where: And: Hierarchical ranking of facial attributes - International Business Machines Corporation. Talking action figure having facial expressions - Hasbro, Inc. The present invention is directed to a talking action figure toy having a speech patterns that correspond to facial expressions. Action figures and similar toys are known in the art. Many such action figures have experienced commercial success, and manufacturers continually search for ways to enhance the play value of such action figures by providing novel features and/or various accessories. For example, U.S. Pat. No. 5,413,516 to Lam discloses a toy doll with lips that move as speech sounds are created. Upon activation of a circuit an electrical motor is activated which turns a drive shaft and gear train, thus causing the lips of the doll to move in an attempt to simulate speech.
By using a single, dual action input button, a user can control both the speech modes and the facial expressions. The actuator assembly may include a rod shiftably disposed within the body and the head may include a pivot lever, with an upper part of the rod operatively engaging the pivot lever. Robust and low cost optical system for sensing stress, emotion and deception in human subjects - Northrop Grumman Corporation. The present invention relates generally to biometric techniques for sensing stress and emotion in human subjects and, more particularly, to non-invasive, optical systems and methods for sensing stress and emotion. The underlying principle on which the present invention is based is that internal emotional and physiological states of a human subject are correlated with transient and vibratory surface motions of the skin, and that these motions provide insight into the subject's physiological and psychological state.
Moreover, this insight can enable a reliable assessment of the affect and credibility of the subject through the application of algorithms based on established databases. More specifically, the relationships between emotions and a subject's facial expressions and movements have been well documented by Paul Ekman and others. The Facial Action Coding System (FACS), by Paul Ekman, Wallace V. Friesen and Joseph C.
Another approach is 3-D (three-dimensional) dimple motion sensing. Apparatus and method for recognizing facial expressions and facial gestures in a sequence of images - Xerox Corporation. Face recognition using DCT-based feature vectors - Lucent Technologies Inc. Method and apparatus of facial image conversion by interpolation/extrapolation for plurality of facial expression components representing facial image - ATR Human Information Processing Research Laboratories. System and method for determining human emotion by analyzing eye properties - iMotions Emotion Technology ApS. Imaging method and system using affective information - Eastman Kodak Company.
Computer vision based elderly care monitoring system - Koninklijke Philips Electronics N.V. Imaging method and system for health monitoring and personal security - Eastman Kodak Company. Virtual Assistant With Real-Time Emotions - Kallideas SpA. HIGH FRAME RATE IMAGING SYSTEM - THE UNIVERSITY OF TOLEDO. METHOD OF ASSESSING PEOPLE'S SELF-PRESENTATION AND ACTIONS TO EVALUATE PERSONALITY TYPE, BEHAVIORAL TENDENCIES, CREDIBILITY, MOTIVATIONS AND OTHER INSIGHTS THROUGH FACIAL MUSCLE ACTIVITY AND EXPRESSIONS - Hill, Daniel A.
Methods of facial coding scoring for optimally identifying consumers' responses to arrive at effective, incisive, actionable conclusions - Sensory Logic, Inc. Recognizing Hand Poses and/or Object Classes - Microsoft Corporation. Facial features based human face recognition method - Wu, Quen-zong. Specific expression face detection method, and imaging control method, apparatus and program - FUJIFILM Corporation. Method and system for measuring human response to visual stimulus based on changes in facial expression - Moon, Hankyu. Face recognition system - Massachusetts Institute of Technology. Face detection under varying rotation - Li, Pingshan.
Face detection under varying rotation - Li, Pingshan. Feature extraction system and face image recognition system - Matsushita Electric Industrial Co., Ltd. Feature extraction system and face image recognition system - Matsushita Electric Industrial Co., Ltd. FPO IP Research & Communities. Method for driving virtual facial expressions by automatically detecting facial expressions of a face image - ArcSoft, Inc.
Facial expression recognition apparatus and facial expression recognition method thereof - Novatek Microelectronics Corp. Method and apparatus for determining user feedback by facial expression - Avaya Inc. EMOTION CHIP Granted US PATENT. Provisional Application for Patent.