• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Shape Perception
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Shape Perception

P. 255–276.
Sawada T., Li Y., Pizlo Z.
In press

This chapter provides a review of topics and concepts that are necessary to study and understand 3D shape perception. This includes group theory and their invariants; model-based invariants; Euclidean, affine, and projective geometry; symmetry; inverse problems; simplicity principle; Fechnerian psychophysics; regularization theory; Bayesian inference; shape constancy and shape veridicality; shape recovery; perspective and orthographic projections; camera models; as well as definitions of shape. All concepts are defined and illustrated, and the reader is provided with references providing mathematical and computational details. Material presented here will be a good starting point for students and researchers who plan to study shape, as well as for those who simply want to get prepared for reading the contemporary literature on the subject.

Language: English
DOI
Text on another site
Keywords: visual perceptioncomputer visionbayesian inference3D perceptionregularization of ill-posed inverse problemsModel-based invariant

In book

The Oxford Handbook of Computational and Mathematical Psychology
Oxford University Press, 2015.
Similar publications
Ансамбль современных моделей компьютерного зрения для задачи обнаружения дипфейков
Pikul A. S., Безопасность информационных технологий 2024 Т. 31 № 4 С. 116–127
This article explores the potential use of modern computer vision architectures for the task of deepfake detection. The following architectures are considered: EfficientNet, Vision Transformer (ViT), VisionLSTM (ViL), Vision KAN, and Mamba Vision. The novelty of the approach lies in the application and comparison of these architectures, as well as their combination into paired ensembles ...
Added: December 12, 2025
2026 IEEE/CVF Winter Conference on Applications of Computer Vision
[б.и.], 2026.
The Winter Conference on Applications of Computer Vision is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. ...
Added: November 24, 2025
2025 2nd International Conference on Intelligent Computing and Robotics (ICICR)
Dalian: IEEE, 2025.
The increasing complexity of modern software development necessitates intelligent, automated security analysis frameworks that can effectively pay attention of human on high-risk software releases. This paper introduces a Multi Agent System (MAS) framework designed to enhance the security assessment process by leveraging artificial intelligence (AI) and intelligent computing for real-time release analysis. The proposed system ...
Added: November 3, 2025
VTM-GAN: video-text matcher based generative adversarial network for generating videos from textual description
- Р. М., International Journal of Information Technology (Singapore) 2024 Article 1
Added: October 1, 2025
Аутистические черты и чувствительность к контексту при восприятии биологического движения
Gavrilova E., Novoselova K., Myachykov A. et al., В кн.: Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025.: М.: Буки Веди, 2025. С. 128–133.
The ability to perceive biological motion (BM) and extract meaningful information from it represents a crucial prerequisite for developing social skills. Both autism spectrum disorders (ASD) and autistic traits in the general population are associated with social functioning impairments. This study examines BM perception in social and non-social contexts among adults with varying levels of ...
Added: September 15, 2025
Software and hardware solution for the problem of searching for lost people based on UAV data
Slastnikov S., Petr Rybakov, Matvei Antonov et al., , in: 24th International Conference, NEW2AN 2024, and 17th Conference, ruSMART 2024, Marrakesh, Morocco, December 11–12, 2024, Proceedings, Part I. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. (LNCS, volume 15554)* 1.: Cham: Springer, 2025. P. 11–18.
An algorithmic and architectural solution is presented for the Search And Rescue (SAR) problem in open areas using image data from UAVs in real time. The solution is an original software and hardware complex that includes a UAV, on-board deployed machine vision application with a novel object detection model and a transmitter to send coordinates ...
Added: June 11, 2025
Computer Vision – ECCV 2024 Workshops, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VII. (LNCS, volume 15629)
Springer, 2025.
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024.  These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of ...
Added: June 1, 2025
Нарушения распознавания когнитивных ошибок другого человека больными шизофренией при восприятии коммуникативных ситуаций
Белоусова А. Ю., Зотова Н. Е., Korotkova I., Вестник психотерапии 2025 № 93 С. 100–112
Relevance. Social cognition impairments in patients with schizophrenia complicate their interactions with others, adversely impacting daily functioning and the progression of the disease. Investigating these impairments is crucial for developing effective strategies for diagnosis, rehabilitation, and psychological intervention to improve patients’ quality of life. Intention. To investigate the impairments in cognitive information processing in patients with ...
Added: April 7, 2025
Weight Perturbations for Simulating Virtual Lesions in a Convolutional Neural Network
W. Joseph MacInnes, Zhozhikashvili N., Feurra M., , in: First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part II. Artificial Intelligence in Healthcare. LNCS, volume 14976Vol. 14976.: Springer, 2024. P. 221–234.
Convolutional Neural Networks (CNNs) match human performance in many visual tasks like the classification of images, however they may not simulate the underlying biological processes. We implemented a CNN to try replicate results from an object inversion experiment with Transcranial Magnetic Stimulation (TMS). After training on upright faces, the CNN model went through three stages ...
Added: January 28, 2025
Generation of Artificial Images of Cross Sections of WC/Co Composite Alloys Using Diffusion Networks
Kagramanyan D., Shchur L., Lobachevskii Journal of Mathematics 2025 Vol. 46 No. 3 P. 1315–1321
The study of statistical properties of microstructures of composite materials is carried out by analysing microphotographs of material cuts. The obtained two-dimensional structure represents cuts of composite elements, the geometrical properties of which can be studied by computer vision methods. Hundreds of micro-images can be collected from one microstructure, which allows to study statistical properties ...
Added: January 13, 2025
18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXIX. Computer Vision - ECCV 2024. (LNCS, volume 15147)
Springer, 2024.
Added: December 9, 2024
Development of a Detector for Stamps on Images
Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 20-24 May 2024.: IEEE, 2024. P. 865–869.
Added: November 26, 2024
18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXI. Computer Vision – ECCV 2024. (LNCS, volume 15129)
Springer, 2024.
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal ...
Added: November 26, 2024
Outliers resistant image classification by anomaly detection
Sergeev A., Minchenkov V., Солдатов А. В. et al., / Cornell University. Серия Computer Science "arxiv.org". 2024. № 2411.10150.
Various technologies, including computer vision models, are employed for the automatic monitoring of manual assembly processes in production. These models detect and classify events such as the presence of components in an assembly area or the connection of components. A major challenge with detection and classification algorithms is their susceptibility to variations in environmental conditions ...
Added: November 23, 2024
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part X. LNCS, volume 14950
Cham: Springer, 2024.
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. ...
Added: November 22, 2024
Analysis of Deep Feature Matching Algorithms in UAV Visual Localization
Prutyanov V., Тернов М. А., Костров Д. С., , in: 2024 International Russian Automation Conference (RusAutoCon).: IEEE, 2024.
The work presents an analysis of the application of deep learning-based methods for the keypoint extraction and matching in the context of map-aided UAV visual localization. A method for visual localization in three degrees of freedom is proposed, which employs pretrained SuperPoint and LightGlue networks for both short-term optical flow and global frame-to-map matching components. ...
Added: September 12, 2024
Сравнение эффективности применения различных подходов в задаче детекции объекта на изображении низкого качества
Проворова А. А., Polyakova I., Kuzmicheva E., Научная визуализация 2024 Т. 16 № 3 С. 1–13
Machine methods of image analysis are gaining popularity in various fields of life. However, the question remains as to how effective such algorithms are on low-quality data, such as those that can be used in the field of telemedicine. The work provides a comparative analysis of various approaches to object detection in MRI brain images ...
Added: August 9, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
IEEE, 2024.
Added: July 10, 2024
Computer Vision
Meshcheryakov R., Kataev M., Pantiukhin D., , in: Integral Robot Technologies and Speech Behavior.: Newcastle upon Tyne: Cambridge Scholars Publishing, 2024. Ch. 4 P. 130–154.
For a robot that functions and performs its mission, it is important to receive information from various sources that are increasingly being called sensors. When drawing an analogy between a robot and a living being, the same comparison can be made for obtaining information about the world from various sources. Often, a computer vision system ...
Added: December 10, 2023
Integral Robot Technologies and Speech Behavior
Kharlamov A. A., Pantiukhin D., Borisov V. et al., Newcastle upon Tyne: Cambridge Scholars Publishing, 2024.
The monograph presents papers on the subject domain “Integral robot. Speech behavior”. These cover issues of a theoretical nature, including representation and processing of speech information in the human mind in the process of both text analysis and text generation, and specifically the need to use jointly working linguistic and extralinguistic models of the world, ...
Added: December 1, 2023
10th International Conference, PReMI 2023, Kolkata, India, December 12–15, 2023, Proceedings. Pattern Recognition and Machine Intelligence. LNCS, volume 14301
Cham: Springer, 2023.
Added: November 29, 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift
Berezovskiy V., Morozov N., , in: The 2nd Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision. ICCV 2023.: [б.и.], 2023.
Knowledge distillation (KD) is a powerful model compression technique broadly used in practical deep learning applications. It is focused on training a small student network to mimic a larger teacher network. While it is widely known that KD can offer an improvement to student generalization in i.i.d setting, its performance under domain shift, i.e. the ...
Added: November 20, 2023
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit