Face recognition with Convolutional Neural Network Martin Vels - PowerPoint PPT Presentation

Oct 17, 2023 •29 likes •159 views

Face recognition with Convolutional Neural Network Martin Vels Face recognition with CNN Labeled Faces in the Wild (LFW) dataset with 13,233 images, 5749 persons (classes) Only using classes with 5 or more samples: 423 classes

Face recognition with Convolutional Neural Network Martin Vels
Face recognition with CNN ● Labeled Faces in the Wild (LFW) dataset with 13,233 images, 5749 persons (classes) ● Only using classes with 5 or more samples: 423 classes ● Using Convolutional Neural Network (CNN) to recognize person on the image
Motivation ● Face recognition and in general pattern recognition are interesting topic ● My research is related to analyzing video data to find certain patterns ● Video is a sequence of images ● Get to know the topic of CNN and use the knowledge in my research
Goal ● CNN can achieve really good results on image data ● Sample CIFAR-10 dataset with 60k images and 10 classes achieves <2% error rates ● With LFW dataset, achieving 30% error rate would be reasonable
LFW Dataset ● 423 classes, 5985 images, ● median number of images per class: 8, 50% of classes with 5 images, ● most images per class: 530 ● image size 250x250px ● cropping 128x128 from center, resizing to 64x64px ● some experiments with grayscale images
LFW Dataset - resizing
Convolutional Neural Network ● Similar to regular neural network ● Basic building block is neuron ● Neurons are organized into layers ● Various types of layers ● Idea is to gradually reduce high dimensional input and classify the image
Neuron - the main building block http://cs231n.github.io/neural-networks-1/
ConvNet architecture Various types of layers to reduce dimensions http://cs231n.github.io/convolutional-networks/
MatConvNet ● MATLAB toolbox ● Implements Convolutional Neural Networks for computer vision applications ● CNN building blocks available as functions ● Available freely: http://www.vlfeat. org/matconvnet/
Results 10 classes with at least 50 images per class 32x32 RGB 64x64 grayscale
Results 423 classes with mostly less than 8 images per class 32x32 RGB 64x64 grayscale
Conclusion ● CNN is an interesting and promising tool ● Works well with large dataset ● Disappointing results with my dataset Future ideas: ● Use horizontal flipping and cropping from corners to generate more data ● Experiment with different configurations and parameters

Recommend

Artificial Neural Networks (ANNs) What is an artificial neural network? What can an artificial

2/13/17 100% Accuracy in Automatic Face Recognition Jenkins & Burton (2008) Big challenge for face recognition: coping with variation in facial appearance due to changing illumination, pose, expression, age, hair, etc. Store average face

648 views • 9 slides

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation EMNLP19 Deepanway Ghosal, Navonil Majumder, Soujanya Poria , Niyati Chhaya and Alexander Gelbukh Singapore University of Technology and Design, Singapore

995 views • 21 slides

Convolutional Kuan-Ting Lai 2020/3/31 Neural Network Convolutional Neural Networks (CNN)

Convolutional Kuan-Ting Lai 2020/3/31 Neural Network Convolutional Neural Networks (CNN) A.k.a. CNN or ConvNet Adit Deshpande, A Beginner's Guide To Understanding Convolutional Neural Networks. Digital Images Input array: an images

1.42k views • 72 slides

Convolutional Neural Nets 4-25-16 Reading Quiz Convolutional neural networks are most commonly

Convolutional Neural Nets 4-25-16 Reading Quiz Convolutional neural networks are most commonly used for what sort of task? a) Recognizing images b) Transcribing speech c) Translating documents d) Playing games Neural network review

431 views • 13 slides

ON TEGRA X1 ALAN WANG, NVIDIA Convolutional Neural Network optimization target Result

DIRECT CONVOLUTION FOR DEEP NEURAL NETWORK CLASSIFICATION ON TEGRA X1 ALAN WANG, NVIDIA Convolutional Neural Network optimization target Result Convolutional Fully Connected Input layer layer Convolutional Layer An example: A E

621 views • 18 slides

Neural Network Part 3: Convolutional Neural Networks CS 760@UW-Madison Goals for the lecture

Neural Network Part 3: Convolutional Neural Networks CS 760@UW-Madison Goals for the lecture you should understand the following concepts convolutional neural networks (CNN) convolution and its advantage pooling and its advantage 2

750 views • 50 slides

Convolutional Neural Networks ---- Off the shelf top notch performances Convolutional Neural

Transfer Learning with Convolutional Neural Networks ---- Off the shelf top notch performances Convolutional Neural Networks A breakthough Convolutional Neural Networks VGG-16 example Layers of Convolutional filters Bottleneck

625 views • 23 slides

NEURAL NETWORK FOR OBJECT RECOGNITION Ming Lang and Xialoin Hu May 3, 2016 Presenter: Ceren

RECURRENT CONVOLUTIONAL NEURAL NETWORK FOR OBJECT RECOGNITION Ming Lang and Xialoin Hu May 3, 2016 Presenter: Ceren Guzel Turhan CONTENT Overview Problem statement Motivation Overview of approach Related studies RCNN

608 views • 31 slides

Tuning the Performance of Convolutional Neural Network for Image Classification on GPU Agenda

Tuning the Performance of Convolutional Neural Network for Image Classification on GPU Agenda Adoptions of Image classification or image recognition at Alibaba Easy ways to improve performance of Caffe Further performance

182 views • 15 slides

Outline Convolutional Neural Network Architectures for Matching Natural Language Sentences.

Outline Hu, NIPS14 Irsoy, NIPS14 Outline Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS14 Convolutional Sentence Model Convolutional Matching Models Experiments Deep Recursive Neural

779 views • 35 slides

Face detection and recognition Bill Freeman, MIT 6.869 April 7, 2005 Today (April 7, 2005)

Face detection and recognition Bill Freeman, MIT 6.869 April 7, 2005 Today (April 7, 2005) Face detection Subspace-based Distribution-based Neural-network based Boosting based Face recognition, gender recognition

1.31k views • 82 slides

CS4501: Introduction to Computer Vision Deeper Convolutional Neural Network Architectures Last

CS4501: Introduction to Computer Vision Deeper Convolutional Neural Network Architectures Last Class Neural Networks multilayer perceptron model (MLP) Backpropagation Convolutional Neural Networks Todays Class More on

772 views • 41 slides

Dependency-based Convolutional Neural Networks for Sentence Embedding What is Hawaii

Dependency-based Convolutional Neural Networks for Sentence Embedding What is Hawaii s state flower ? ROOT Mingbo Ma Liang Huang Bing Xiang Bowen Zhou CUNY IBM T. J. Watson ACL 2015 Beijing Convolutional Neural Network

742 views • 50 slides

Neural Network Part 3: Convolutional Neural Networks Yingyu Liang Computer Sciences 760 Fall

Neural Network Part 3: Convolutional Neural Networks Yingyu Liang Computer Sciences 760 Fall 2017 http://pages.cs.wisc.edu/~yliang/cs760/ Some of the slides in these lectures have been adapted/borrowed from materials developed by Mark Craven,

818 views • 48 slides

Neural Network Basics Part II Content Image-to-image Why fully convolutional?

Neural Network Basics Part II Content Image-to-image Why fully convolutional? Fully Convolutional Networks (FCN) Up-sampling Network architecture Recurrent Neural Networks Sequence data and representation

625 views • 45 slides

11/21/2018 ImageNet Classification with Deep Convolutional Neural Networks Prepared by Faizaan

11/21/2018 ImageNet Classification with Deep Convolutional Neural Networks Prepared by Faizaan Naveed Won Mo (Andy) Jung Lassonde School of Engineering, York University Canada Objective Overview of Convolutional Neural Network

567 views • 17 slides

Convolutional Neural Networks (Application in Object and Scene

Convolutional Neural Networks (Application in Object and Scene Recognition) Harsh Agrawal (Sept 8 th , 2015) ECE: 6504, Deep Learning For Perception Contents Y. LeCun, L.

732 views • 54 slides

Face detection and recognition Detection Recognition Sally Face detection &

Face detection and recognition Detection Recognition Sally Face detection & recognition Viola & Jones detector Available in open CV Face recognition Eigenfaces for face recognition Eigenfaces for face

639 views • 53 slides

Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition

Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition Junfu Pu, Wengang Zhou, Houqiang Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, EEIS

385 views • 19 slides

A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette

A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom Department of Computer Science, Oxford University Overview of Model Represent sentences by extracting more abstract features Input:

195 views • 16 slides

Early Face Recognition Systems in Computer Vision Kanade feature-based face recognition (1973!)

2/7/17 Early Face Recognition Systems in Computer Vision Kanade feature-based face recognition (1973!) (first complete automated system) Introduction to Principal Components Analysis Eigenfaces method for face recognition (Turk & Pentland,

92 views • 5 slides

Convolutional Neural Networks Basics Praveen Krishnan Overview Paradigm Shift Simple

Convolutional Neural Networks Basics Praveen Krishnan Overview Paradigm Shift Simple Network Convolutional Network Layers Case Study1: Alex Net Training Generalization Visualizations Transfer Learning Case

1.02k views • 53 slides

Face Recognition Intro to recognition PCA and Eigenfaces LDA and Fisherfaces

COS 429: COMPUTER VISON Face Recognition Intro to recognition PCA and Eigenfaces LDA and Fisherfaces Face detection: Viola & Jones (Optional) generic object models for faces: the Constellation Model Reading: Turk

1.17k views • 92 slides

Gesture Recognition with CNN Ahmed Abdelghany 20 January 2020 Outline Motivation for Gesture

Gesture Recognition with CNN Ahmed Abdelghany 20 January 2020 Outline Motivation for Gesture Recognition Taxonomy of GR Sensors for Gesture Recognition GR for Human Robot Interaction Convolutional Neural Network

791 views • 29 slides