This paper explores the use of Internet photo collections for 3D scene modeling and visualization. The authors present algorithms for structure-from-motion and image-based rendering that operate on hundreds of images retrieved via keyword-based searches. These algorithms enable reconstructions of well-known world sites, and the paper discusses key challenges and open problems in this area. The approach, called Photo Tourism, allows for the creation of 3D models of the world's well-photographed sites, cities, and landscapes from Internet imagery. The paper also presents a visualization front-end for exploring these models, as well as a discussion of related research and open challenges. The authors highlight the importance of robust and general computer vision algorithms that can work effectively with unorganized, uncalibrated, and varying quality images. They also discuss the use of image-based rendering techniques for creating new views of scenes from input photographs. The paper presents a detailed overview of the approach, including the use of feature matching, structure from motion, and image-based modeling techniques. The authors also describe the use of geo-registration to align the reconstructed 3D models with real-world coordinates. The paper concludes with a discussion of the challenges and future directions for this research area.This paper explores the use of Internet photo collections for 3D scene modeling and visualization. The authors present algorithms for structure-from-motion and image-based rendering that operate on hundreds of images retrieved via keyword-based searches. These algorithms enable reconstructions of well-known world sites, and the paper discusses key challenges and open problems in this area. The approach, called Photo Tourism, allows for the creation of 3D models of the world's well-photographed sites, cities, and landscapes from Internet imagery. The paper also presents a visualization front-end for exploring these models, as well as a discussion of related research and open challenges. The authors highlight the importance of robust and general computer vision algorithms that can work effectively with unorganized, uncalibrated, and varying quality images. They also discuss the use of image-based rendering techniques for creating new views of scenes from input photographs. The paper presents a detailed overview of the approach, including the use of feature matching, structure from motion, and image-based modeling techniques. The authors also describe the use of geo-registration to align the reconstructed 3D models with real-world coordinates. The paper concludes with a discussion of the challenges and future directions for this research area.