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Description: 脸部特征提取 最近看到的 可以下载看看 挺好玩的-Facial feature extraction can be downloaded recently seen look very good playing
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Size: 28672 |
Author: 张华振 |
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Description: 这是一份基于人工神经网络的人脸训练源码。可以用于训练识别表情，定位人脸以及五官。并且里面还有一个图形库的包-This is an artificial neural network-based face training source. Can be used for training to identify facial expressions, positioning Face and facial features. And inside there is a graphics library package
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Size: 621568 |
Author: bbplayer |
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Description: Genetic Algorithm and Neural Network for
Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification
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Size: 424960 |
Author: Amila Pathirana |
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Description: 三维人脸识别的经典文章，三维人脸表情引用次数极多的经典论文-Spontaneous Emotional Facial Expression Detection
Index Terms—affective computing, facial expression, one-class classification, emotion recognition
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Size: 119808 |
Author: 浪子 |
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Description: emotion recognition for driver facial emotional state while driving
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Size: 1024 |
Author: suraya |
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Description: emotion recognition to facial driver emotions state
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Size: 1024 |
Author: suraya |
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Description:
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Size: 1024 |
Author: suraya |
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Description: crete database recognition emotion for facial driver emotions stste
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Size: 1024 |
Author: suraya |
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Description: load images recognition emotion for facial driver emotions stste
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Size: 1024 |
Author: suraya |
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Description: recognition emotion for facial driver emotions stste
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Size: 1024 |
Author: suraya |
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Description: An image-based classification application satisfying all the aims above has been implemented. It
allows for flexible evaluation of SVM classification of facial expressions for arbitrary user-defined
emotion categories and various SVM settings.
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Size: 982016 |
Author: oskard858624 |
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Description: The face can communicate varied personal information
including subjective emotion, communicative intent, and
cognitive appraisal. Accurate interpretation by observer or
computer interface depends on attention to dynamic properties
of the expression, context, and knowledge of what
is normative for a given individual. In two separate studies,
we investigated individual differences in the base rate
of positive facial expression and in specific facial action
units over intervals from 4- to 12 months. Facial expression
was measured using convergent measures, including facial
EMG, automatic feature-point tracking, and manual FACS
coding.
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Size: 61440 |
Author: payal |
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Description: The expression of emotion is achieved through intricate combinations of verbal and
nonverbal information produced from various sources of the body and the brain.
Nonverbal information encompasses any message that is not expressed in words
(DePaulo and Friedman 1998) including gestures, postures, and vocal tones. Though
people often do not invest much thought to the nonverbal aspect of communication
due to its automaticity, nonverbal cues are the primary vehicles for expressing emotions
and managing emotional experiences (Burgoon and Hoobler 2002). Among
the communicative channels that express emotions, the face is often considered to be
the richest source of nonverbal information (e.g., Collier 1985 Ekman 2003).-The expression of emotion is achieved through intricate combinations of verbal and
nonverbal information produced from various sources of the body and the brain.
Nonverbal information encompasses any message that is not expressed in words
(DePaulo and Friedman 1998) including gestures, postures, and vocal tones. Though
people often do not invest much thought to the nonverbal aspect of communication
due to its automaticity, nonverbal cues are the primary vehicles for expressing emotions
and managing emotional experiences (Burgoon and Hoobler 2002). Among
the communicative channels that express emotions, the face is often considered to be
the richest source of nonverbal information (e.g., Collier 1985 Ekman 2003).
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Size: 162816 |
Author: payal |
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Description: Development of the Facial Feature Extraction and Emotion
Recognition Method based on ASM and Bayesian Network
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Size: 570368 |
Author: ashok kumar |
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Description: Facial Emotion Recognisation Using Baysian Classification
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Size: 3124224 |
Author: Alex |
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Description: facial emotion using matlab
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Size: 14171136 |
Author: nguyen |
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Description: 微软的人脸表情识别SDK，能够识别一个图片中60个人脸，并分别识别其表情-Microsoft Facial Emotion Recognition
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Size: 23552 |
Author: 申丽萍 |
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Description: Face is a primary focus of attention in social intercourse, playing a major role in conveying identity and
emotion. The human ability to recognize faces is remarkable. People can recognize thousands of faces learned throughout
their lifetime and identify familiar faces at a glance even after years of separation. This skill is quite robust, despite large
changes in the visual stimulus due to viewing conditions, expression, aging, and distractions such as glasses, beards or
changes in hair style. In this work, a system is designed to recognize human faces depending on their facial features. Also
to reveal the outline of the face, eyes and nose, edge detection technique has been used. Facial features are extracted in the
form of distance between important feature points. After normalization, these feature vectors are learned by artificial
neural network and used to recognize facial image.
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Size: 240640 |
Author: fatemeh |
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Description: 情绪可视化文档，将情绪表达出来，通过人的面部表情或者身体反应-
Emotional visualization, the expression of emotion, through the human facial expressions or body reaction
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Size: 12096512 |
Author: ahu_gj |
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Description: 人脸表情检测，输入一幅人脸自动检测其表情-facial emotion detection
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Size: 9216 |
Author: 张杰 |
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