Publication

Automatic Restoration of Historical Stereoscopic Photographs for 3D Visualization at Scale

2025

Abstract

Vast archives of stereographic photographs from the 19th and 20th centuries survive in collections worldwide. While extensively digitized, these artifacts remain largely inaccessible in their intended three-dimensional form. Contemporary stereoscopic displays offer ideal platforms for experiencing these historical media, yet a significant barrier persists: the labor-intensive process of restoring deteriorated stereographs for comfortable viewing. This paper addresses this challenge through two approaches: first, establishing a comprehensive framework for manual stereograph restoration that balances historical authenticity with viewing comfort; second, presenting our ongoing development of an automated pipeline that leverages recent advances in computer vision. Our approach aims to dramatically reduce the time and expertise required for restoration, potentially enabling unprecedented access to historical stereographic archives and facilitating their reintroduction to contemporary audiences through immersive technologies.

Official source

https://infoscience.epfl.ch/entities/publication/08160b2c-3bd3-42f6-9d79-16b698094312

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2025

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/08160b2c-3bd3-42f6-9d79-16b698094312

About this result

Related concepts (28)

Stereoscopy

Stereoscopy (also called stereoscopics, or stereo imaging) is a technique for creating or enhancing the illusion of depth in an image by means of stereopsis for binocular vision. The word stereoscopy derives . Any stereoscopic image is called a stereogram. Originally, stereogram referred to a pair of stereo images which could be viewed using a stereoscope. Most stereoscopic methods present a pair of two-dimensional images to the viewer. The left image is presented to the left eye and the right image is presented to the right eye.

Computer vision

Computer vision tasks include methods for , , and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action.

Computer stereo vision

Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis. In traditional stereo vision, two cameras, displaced horizontally from one another, are used to obtain two differing views on a scene, in a manner similar to human binocular vision.

Related publications (5)

Automatic Restoration of Historical Stereoscopic Photographs for 3D Visualization at Scale

Chat with Graph Search

Determining risks of having or developing medical conditions based on radiomics features extracted from automatically segmented 3d images of a skeletal muscle of a subject's trunk

TopoTome: Topology-informed unsupervised segmentation and analysis of 3D images

A learning-based lossless event data compression for computer vision applications