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Deep Sketch-Photo Face Recognition Assisted by Facial Attributes [article]

Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Nasser M. Nasrabadi
2018 arXiv   pre-print
We propose a cou- pled deep neural network architecture which utilizes facial attributes in order to improve the sketch-photo recognition performance.  ...  The proposed Attribute-Assisted Deep Con- volutional Neural Network (AADCNN) method exploits the facial attributes and leverages the loss functions from the facial attributes identification and face verification  ...  In this paper, we propose an attribute-assisted sketch recognition framework which uses relevant facial attributes, provided by a victim, to enhance the performance of our deep sketch recognition method  ... 
arXiv:1808.00059v1 fatcat:aacadvlctbfrpkttkj2lgvt6qi

A New Framework for Matching Forensic Composite Sketches With Digital Images

Chethana H. T., Trisiladevi C. Nagavi
2021 International Journal of Digital Crime and Forensics  
Face sketch recognition is considered as a sub-problem of face recognition. Matching composite sketches with its corresponding digital image is one of the challenging tasks.  ...  Both composite sketches and digital images are trained separately in the network by providing matching pairs and mismatching pairs.  ...  T. is working as assistant professor in the  ... 
doi:10.4018/ijdcf.20210901.oa1 fatcat:pbsauhj4lngwflmihhnyjdsf5q

A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
2016 Image and Vision Computing  
Heterogeneous face recognition (HFR) refers to matching face imagery across different domains.  ...  We finish by assessing the state of the field and discussing promising directions for future research.  ...  Matching facial sketches to images The problem of matching facial sketches to photos is commonly known as sketch-based face recognition (SBFR).  ... 
doi:10.1016/j.imavis.2016.09.001 fatcat:hy666szkk5bgfoazyxgwy6hli4

Efficient Facial Recognition Authentication Using Edge and Density Variant Sketch Generator

Summra Saleem, M. Usman Ghani Khan, Tanzila Saba, Ibrahim Abunadi, Amjad Rehman, Saeed Ali Bahaj
2022 Computers Materials & Continua  
This assists the user to appropriately devise the variant densities of facial sketches and image synthesis.  ...  This research study proposes automatic face image realism from freehand sketches based on Edge GAN.  ...  Acknowledgement: This research work was supported by Computer Science department, UET Lahore and KICS.  ... 
doi:10.32604/cmc.2022.018871 fatcat:gfhrm6mgozen7ndlctrbzfbyie

Sketch-based Facial Synthesis: A New Challenge [article]

Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool
2022 arXiv   pre-print
, and facial attributes.  ...  deep image-to-image translation methods, and 35 image-to-sketch approaches.  ...  FSS is commonly used by law enforcement or in surveillance to assist in face recognition and retrieval, based on a sketch drawing from an eyewitness [1] .  ... 
arXiv:2112.15439v3 fatcat:fl7v2gqdmrc7tc3epdat4xeama

Matching Software-Generated Sketches to Face Photographs With a Very Deep CNN, Morphed Faces, and Transfer Learning

Christian Galea, Reuben A. Farrugia
2018 IEEE Transactions on Information Forensics and Security  
Despite the success of deep learning in several applications including face recognition, little work has been done in applying it for face photograph-sketch recognition.  ...  it to face photographs and is trained by applying transfer learning to a state-of-the-art model pretrained for face photograph recognition; 2) a 3-D morphable model is used to synthesise both photographs  ...  The authors would also like to thank the Malta Police Force for their assistance in this research.  ... 
doi:10.1109/tifs.2017.2788002 fatcat:mrvz235igbgtddudnduxd5bmhi

A Decision-Making Tool for Creating and Identifying Face Sketches

Manish Bhoir, Chandan Gosavi, Prathamesh Gade, Bhavana Alte, M.D. Patil, V.A. Vyawahare
2022 ITM Web of Conferences  
A criminal can be quickly identified and prosecuted using a face sketch based on an eyewitness description .  ...  The application offers a drag-and-drop feature that can match the produced composite facial sketch with the criminal database in real time.  ...  [9] developed an automatic face-sketch recognition system that used joint dictionary learning to match photos from two different modalities (photos and sketches).  ... 
doi:10.1051/itmconf/20224403032 fatcat:cvecqdicafggzk6sjlnorlh5yi

Augmented binary multi-labeled CNN for practical facial attribute classification

Mohammed Berrahal, Mostafa Azizi
2021 Indonesian Journal of Electrical Engineering and Computer Science  
Both human face recognition and generation by machines are currently an active area of computer vision, drawing curiosity of researchers, capable of performing amazing image analysis, and producing applications  ...  On the other hand, we build a new face dataset, more consistent and complete, by generating images using Style-GAN model, to which we apply our method for extracting face attributes.  ...  RELATED WORK Mao et al., propose a new algorithm to deal with the face attribute extraction from facial images, the algorithm called deep multi-task multi-label CNN (DMM-CNN), by dividing the facial attributes  ... 
doi:10.11591/ijeecs.v23.i2.pp973-979 fatcat:ivzsqyrbcrhs3kdsgmnc4fdita

A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution [article]

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li
2014 arXiv   pre-print
Heterogeneous face recognition (HFR) refers to matching face imagery across different domains.  ...  We finish by assessing the state of the field and discussing promising directions for future research.  ...  In the latter case approaches that require homoge- MATCHING FACIAL SKETCHES TO IMAGES The problem of matching facial sketches to photos is commonly known as sketch-based face recognition (SBFR).  ... 
arXiv:1409.5114v2 fatcat:pytctlmtonf6bhb4z3pszxoove

Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network [article]

Seho Bae, Nizam Ud Din, Hyunkyu Park, Juneho Yi
2021 arXiv   pre-print
This research features a deep-learning based framework to address the problem of matching a given face sketch image against a face photo database.  ...  We effectively align the distributions of the two modalities in this latent space by employing a bidirectional (photo -> sketch and sketch -> photo) collaborative synthesis network.  ...  CONCLUSION We proposed a novel deep learning based face photo-sketch recognition method by exploiting a homogeneous intermediate latent space between photo and sketch modalities.  ... 
arXiv:2108.09898v1 fatcat:f7tfzbxtn5c3xpalxsqkkxb5nq

Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators [article]

Xing Di, Vishal M. Patel
2019 arXiv   pre-print
and (2) a face generator network which synthesizes facial images from the synthesized sketch images with the help of facial attributes.  ...  We first synthesize the facial sketch corresponding to the visual attributes and then we generate the face image based on the synthesized sketch.  ...  We input the triplets as facial images instead of sketch images and replace the sketch attributes by the facial attributes.  ... 
arXiv:1912.10479v1 fatcat:5hnmiv7qcvawrkifmgdusqy4ta

Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid

Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Compared to the existing methods, we quantitatively demonstrate that the proposed method can work well on face photos in the wild.  ...  Despite the extensive progress in face sketch synthesis, existing methods are mostly workable under constrained conditions, such as fixed illumination, pose, background and ethnic origin that are hardly  ...  Acknowledgements This work is supported by the National Key R&D Program  ... 
doi:10.24963/ijcai.2018/162 dblp:conf/ijcai/ZhangJHGL18 fatcat:lhi4ggf2zrdjnlltu6kne524be

Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition

Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Matching facial sketches to digital face images has widespread application in law enforcement scenarios.  ...  This research aims to address the task of matching a composite face sketch image to digital images by proposing a transfer learning based evolutionary algorithm.  ...  sketches for developing composite sketch to photo recognition algorithms.  ... 
doi:10.1109/cvprw.2017.90 dblp:conf/cvpr/ChughSNSV17 fatcat:e2oabdy6t5atvdqd4zuqregmbq

Human Face (Sketch/Photo) Age Group Estimation and Classification Using Perfect Face Ratios and Levenshtein Distance

Khalid Ounachad
2020 International Journal of Emerging Trends in Engineering Research  
This paper presents a novel method for human face age group estimation and classification. It is inspired in our model which was pre-trained on face sketch gender classification and recognition task.  ...  Also, the CUHK Face Sketch dataset (CUFS) is used for testing. The proposed algorithm will be a competitor of the proposed relative the stat of the art approaches.  ...  ACKNOWLEDGMENT I would like to express my deep gratitude to Professor A.  ... 
doi:10.30534/ijeter/2020/52872020 fatcat:ammvnbnbpbaqbacy36narb2lsi

A comprehensive database for benchmarking imaging systems

Karen Panetta, Qianwen Wan, Sos Agaian, Srijith Rajeev, Shreyas Kamath, Rahul Rajendran, Shishir Rao, Aleksandra Kaszowska, Holly Taylor, Arash Samani, Xin Yuan
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
sketch, and 3D images of each volunteer's face.  ...  worldwide, which will allow assessment and creation of more robust, consistent, and adaptable recognition algorithms; 3) A comprehensive, up-to-date review on face recognition systems and face datasets  ...  ACKNOWLEDGMENTS The authors would like to thank all the volunteers for their great support and contribution in developing the Tufts Face Database. The authors would also like to thank Dr.  ... 
doi:10.1109/tpami.2018.2884458 pmid:30507525 fatcat:zrwnlhitpjgh7mhdkr4vdtpryi
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