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Combines geometry-based photogrammetric modeling with a model-based stereo algorithm to recover deviations and accurate depth from image pairs with large baselines. Enables scalable modeling of large environments with fewer photographs, and includes view-dependent texture mapping to better simulate geometric detail. Produces renderings from viewpoints far from the original images and supports outputs for geometry-based or image-based rendering systems.",{"@graph":69,"@context":121},[70,84,104],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/modeling-and-rendering-architecture-from-photographs-january-19-1996/664772/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/modeling-and-rendering-architecture-from-photographs-january-19-1996/664772.png","ImageObject",300,407,{"name":92,"@type":93},"วิน","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29",true,{"@type":101,"interactionType":102,"userInteractionCount":19},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What problem does the report address?","Question",{"text":111,"@type":112},"Creating realistic three-dimensional models and renderings of existing architectural scenes from only a sparse set of still photographs.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"How does the approach combine geometry and images?",{"text":116,"@type":112},"It uses photogrammetric modeling to recover a basic geometric model, then applies model-based stereo to estimate how the real scene deviates from that model and recover accurate depth.",{"name":118,"@type":109,"acceptedAnswer":119},"Why is the method more scalable than prior image-based modeling?",{"text":120,"@type":112},"Because the stereo step leverages the recovered model to obtain robust depth from image pairs with large baselines, reducing the number of photographs and user input needed.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},664772,1793271974,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":143},2336475104736,"https://ap-avatar.wpscdn.com/avatar/22000c4c5e0e5b17e70?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786591360781797222","Modeling and Rendering Architecture from Photographs:  \nA hybrid geometry-and image-based approach  \nTechnical Report UCB//CSD-96-893  \nJanuary 19, 1996  \nPaul E. Deb evec Camillo J. Taylor Jitendra Malik  \n[deb evec@cs](deb evec@cs. berkeley. edu)[.](deb evec@cs. berkeley. edu)[ berk](deb evec@cs. berkeley. edu)[eley](deb evec@cs. berkeley. edu)[.](deb evec@cs. berkeley. edu)[ edu](deb evec@cs. berkeley. edu) [camillo@cs](camillo@cs. berkeley. edu)[.](camillo@cs. berkeley. edu)[ berk](camillo@cs. berkeley. edu)[eley](camillo@cs. berkeley. edu)[.](camillo@cs. berkeley. edu)[ edu](camillo@cs. berkeley. edu) [malik@cs](malik@cs. berkeley. edu)[.](malik@cs. berkeley. edu)[ berk](malik@cs. berkeley. edu)[eley](malik@cs. berkeley. edu)[.](malik@cs. berkeley. edu)[ edu](malik@cs. berkeley. edu)  \n545 Soda Hall 485 Soda Hall 725 Soda Hall  \n(510) 642 9940 (510) 642 5029 (510) 642 7597  \nComputer Science Division, University of California at Berkeley  \nBerkeley, CA 94720-1776  \n(510) 642 5775 (fax)  \nAbstract  \nWe present an approach for creating realistic synthetic views of existing architectural scenes from a sparse set of still photographs. Our approach, which combines both geometrybased and image-based modeling and rendering techniques, has two components. The 􀀌rst component is an easy-to-use photogrammetric modeling system which facilitates the recovery of a basic geometric model of the photographed scene. The modeling system is e􀀋ective and robust because it exploits the constraints that are characteristic of architectural scenes.  \nThe second component is a model-based stereo algorithm, which recovers how the real scene deviates from the basic model. By making use of the model, our stereo approach can robustly recover accurate depth from image pairs with large baselines. Consequently, our approach can model large architectural environments with far fewer photographs than current imagebased modeling approaches. As an intermediate result, we present view-dependent texture mapping, a method of better simulating geometric detail on basic models. Our approach can recover models for use in either geometry-based or image-based rendering systems. We present results that demonstrate our approach's abilty to create realistic renderings of architectural scenes from viewpoints far from the original photographs.  \nKeywords: Image-based modeling, image-based rendering, interactive modeling systems, photogrammetry, reconstruction, view-dependent texture mapping, view interpolation, modelbased stereo  \nSee also: [http://www](http://www. cs. berkeley.edu/~deb evec/Research/)[.](http://www. cs. berkeley.edu/~deb evec/Research/)[ cs](http://www. cs. berkeley.edu/~deb evec/Research/)[.](http://www. cs. berkeley.edu/~deb evec/Research/)[ berk](http://www. cs. berkeley.edu/~deb evec/Research/)[eley](http://www. cs. berkeley.edu/~deb evec/Research/)[.](http://www. cs. berkeley.edu/~deb evec/Research/)[edu/](http://www. cs. berkeley.edu/~deb evec/Research/)[~](http://www. cs. berkeley.edu/~deb evec/Research/)[deb evec/Researc](http://www. cs. berkeley.edu/~deb evec/Research/)[h/](http://www. cs. berkeley.edu/~deb evec/Research/)  \n1 Introduction  \nAs the technology for experiencing immersive virtual environments develops, there will bea growing need for interesting virtual environments to experience. So far, computer models of architectural scenes have been especially popular subjects, mirroring the real-world popularity of architectural sites as places to visit. From this, there is a call for a method to conveniently acquire photorealistic models of existing architecture.  \nThe creation of three-dimensional models of existing architectural scenes with the aid of the computer has been commonplace for some time, and the resulting models have proven tobe entertaining virtual environments as well as valuable visualization tools. Large-scale efforts have pushed the campuses of Iowa State University, California State University { Chico, and swaths of downt","cbCaiqCmrxjJCV4r","https://ap.wps.com/l/cbCaiqCmrxjJCV4r","pdf",3749098,33,"English","# Abstract\n# Keywords\n# 1 Introduction","[{\"question\":\"What problem does the report address?\",\"answer\":\"Creating realistic three-dimensional models and renderings of existing architectural scenes from only a sparse set of still photographs.\"},{\"question\":\"How does the approach combine geometry and images?\",\"answer\":\"It uses photogrammetric modeling to recover a basic geometric model, then applies model-based stereo to estimate how the real scene deviates from that model and recover accurate depth.\"},{\"question\":\"Why is the method more scalable than prior image-based modeling?\",\"answer\":\"Because the stereo step leverages the recovered model to obtain robust depth from image pairs with large baselines, reducing the number of photographs and user input needed.\"}]","Modeling and Rendering Architecture from Photographs - January 19, 1996 | PDF",83]