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Displaying 1-29 out of 29 total
Network Principles for SfM: Disambiguating Repeated Structures with Local Context
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Kyle Wilson,Noah Snavely
Issue Date:December 2013
pp. 513-520
Repeated features are common in urban scenes. Many objects, such as clock towers with nearly identical sides, or domes with strong radial symmetries, pose challenges for structure from motion. When similar but distinct features are mistakenly equated, the ...
 
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Kevin Matzen,Noah Snavely
Issue Date:December 2013
pp. 761-768
Geometry and geography can play an important role in recognition tasks in computer vision. To aid in studying connections between geometry and recognition, we introduce NYC3DCars, a rich dataset for vehicle detection in urban scenes built from Internet pho...
 
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Crandall,Andrew Owens,Noah Snavely,Daniel P. Huttenlocher
Issue Date:December 2013
pp. 2841-2853
Recent work in structure from motion (SfM) has built 3D models from large collections of images downloaded from the Internet. Many approaches to this problem use incremental algorithms that solve progressively larger bundle adjustment problems. These incre...
 
3D exploitation of 2D ground-level & aerial imagery
Found in: Applied Image Pattern Recognition Workshop,
By Peter Cho,Noah Snavely
Issue Date:October 2011
pp. 1-8
Working with 2.3K+ digital images shot around MIT, we form a SIFT graph which imposes an initial topological ordering upon the quasi-random set of input urban photos. We next employ iterative bundle adjustment algorithms developed by Snavely et al to recov...
 
Where's Waldo: Matching people in images of crowds
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By R. Garg,D. Ramanan,Steven M. Seitz,Noah Snavely
Issue Date:June 2011
pp. 1793-1800
Given a community-contributed set of photos of a crowded public event, this paper addresses the problem of finding all images of each person in the scene. This problem is very challenging due to large changes in camera viewpoints, severe occlusions, low re...
 
Reconstructing Rome
Found in: Computer
By Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz, Richard Szeliski
Issue Date:June 2010
pp. 40-47
Community photo collections like Flickr offer a rich, ever-growing record of the world around us. New computer vision techniques can use photographs from these collections to rapidly build detailed 3D models.
 
Skeletal graphs for efficient structure from motion
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Noah Snavely, Steven M. Seitz, Richard Szeliski
Issue Date:June 2008
pp. 1-8
We address the problem of efficient structure from motion for large, unordered, highly redundant, and irregularly sampled photo collections, such as those found on Internet photo-sharing sites. Our approach computes a small skeletal subset of images, recon...
 
Fast algorithms for L<inf>8</inf> problems in multiview geometry
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sameer Agarwal, Noah Snavely, Steven M. Seitz
Issue Date:June 2008
pp. 1-8
Many problems in multi-view geometry, when posed as minimization of the maximum reprojection error across observations, can be solved optimally in polynomial time. We show that these problems are instances of a convex-concave generalized fractional program...
 
Scene Summarization for Online Image Collections
Found in: Computer Vision, IEEE International Conference on
By Ian Simon, Noah Snavely, Steven M. Seitz
Issue Date:October 2007
pp. 1-8
We formulate the problem of scene summarization as selecting a set of images that efficiently represents the visual content of a given scene. The ideal summary presents the most interesting and important aspects of the scene with minimal redundancy. We pro...
 
Piecewise Image Registration in the Presence of Multiple Large Motions
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Pravin Bhat, Ke Colin Zheng, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless
Issue Date:June 2006
pp. 2491-2497
We present a technique for computing a dense pixel correspondence between two images of a scene containing multiple large, rigid motions. We model each motion with either a homography (for planar objects) or a fundamental matrix. The various motions in the...
 
Unpredication, Unscheduling, Unspeculation: Reverse Engineering Itanium Executables
Found in: IEEE Transactions on Software Engineering
By Noah Snavely, Saumya Debray, Gregory R. Andrews
Issue Date:February 2005
pp. 99-115
EPIC (Explicitly Parallel Instruction Computing) architectures, exemplified by the Intel Itanium, support a number of advanced architectural features, such as explicit instruction-level parallelism, instruction predication, and speculative loads from memor...
 
Unscheduling, Unpredication, Unspeculation: Reverse Engineering Itanium Executables
Found in: Reverse Engineering, Working Conference on
By Noah Snavely, Saumya Debray, Gregory Andrews
Issue Date:November 2003
pp. 4
EPIC (Explicitly Parallel Instruction Computing) architectures, exemplified by the Intel Itanium, support a number of advanced architectural features, such as explicit instruction-level parallelism, instruction predication, and speculative loads from memor...
 
Unspeculation
Found in: Automated Software Engineering, International Conference on
By Noah Snavely, Saumya Debray, Gregory Andrews
Issue Date:October 2003
pp. 205
Modern architectures, such as the Intel Itanium, support speculation, a hardware mechanism that allows the early execution of expensive operations-possibly even before it is known whether the results of the operation are needed. While such speculative exec...
 
Estimating dual-scale properties of glossy surfaces from step-edge lighting
Found in: ACM Transactions on Graphics (TOG)
By Chun-Po Wang, Noah Snavely, Steve Marschner, Chun-Po Wang, Noah Snavely, Steve Marschner
Issue Date:December 2011
pp. 1-15
This paper introduces a rapid appearance capture method suited for a variety of common indoor surfaces, in which a single photograph of the reflection of a step edge is used to estimate both a BRDF and a statistical model for visible surface geometry, or m...
     
Photometric Ambient Occlusion
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Daniel Hauagge,Scott Wehrwein,Kavita Bala,Noah Snavely
Issue Date:June 2013
pp. 2515-2522
We present a method for computing ambient occlusion (AO) for a stack of images of a scene from a fixed viewpoint. Ambient occlusion, a concept common in computer graphics, characterizes the local visibility at a point: it approximates how much light can re...
 
Graph-Based Discriminative Learning for Location Recognition
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Song Cao,Noah Snavely
Issue Date:June 2013
pp. 700-707
Recognizing the location of a query image by matching it to a database is an important problem in computer vision, and one for which the representation of the database is a key issue. We explore new ways for exploiting the structure of a database by repres...
 
Multi-View Stereo for Community Photo Collections
Found in: Computer Vision, IEEE International Conference on
By Michael Goesele, Noah Snavely, Brian Curless, Hugues Hoppe, Steven M. Seitz
Issue Date:October 2007
pp. 1-8
We present a multi-view stereo algorithm that addresses the extreme changes in lighting, scale, clutter, and other effects in large online community photo collections. Our idea is to intelligently choose images to match, both at a per-view and per-pixel le...
 
Navigating the worldwide community of photos
Found in: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
By Noah Snavely, Richard Szeliski, Steven M. Seitz
Issue Date:October 2013
pp. 1-4
The last decade has seen an explosion in the number of photographs available on the Internet. The sheer volume of interesting photos makes it a challenge to explore this space. Various Web and social media sites, along with search and indexing techniques, ...
     
OpenSurfaces: a richly annotated catalog of surface appearance
Found in: ACM Transactions on Graphics (TOG)
By Kavita Bala, Noah Snavely, Paul Upchurch, Sean Bell
Issue Date:July 2013
pp. 1-17
The appearance of surfaces in real-world scenes is determined by the materials, textures, and context in which the surfaces appear. However, the datasets we have for visualizing and modeling rich surface appearance in context, in applications such as home ...
     
Modeling people and places with internet photo collections
Found in: Communications of the ACM
By David Crandall, Noah Snavely
Issue Date:June 2012
pp. 52-60
Understanding the world from the sea of online photos.
     
Estimating dual-scale properties of glossy surfaces from step-edge lighting
Found in: Proceedings of the 2011 SIGGRAPH Asia Conference (SA '11)
By Chun-Po Wang, Noah Snavely, Steve Marschner
Issue Date:December 2011
pp. 1-137
This paper introduces a rapid appearance capture method suited for a variety of common indoor surfaces, in which a single photograph of the reflection of a step edge is used to estimate both a BRDF and a statistical model for visible surface geometry, or m...
     
Estimating dual-scale properties of glossy surfaces from step-edge lighting
Found in: Proceedings of the 2011 SIGGRAPH Asia Conference (SA '11)
By Chun-Po Wang, Noah Snavely, Steve Marschner
Issue Date:December 2011
pp. 1-12
This paper introduces a rapid appearance capture method suited for a variety of common indoor surfaces, in which a single photograph of the reflection of a step edge is used to estimate both a BRDF and a statistical model for visible surface geometry, or m...
     
Building Rome in a day
Found in: Communications of the ACM
By Ian Simon, Noah Snavely, Richard Szeliski, Sameer Agarwal, Yasutaka Furukawa, Brian Curless, Steven M. Seitz
Issue Date:October 2011
pp. 105-112
We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs such as those found by searching for a given city (e.g., Rome) on Internet photo-sharing sites. Our system is built on a set of new, distributed compute...
     
PhotoCity: training experts at large-scale image acquisition through a competitive game
Found in: Proceedings of the 2011 annual conference on Human factors in computing systems (CHI '11)
By Dun-yu Hsiao, Kathleen Tuite, Nadine Tabing, Noah Snavely, Zoran Popovic
Issue Date:May 2011
pp. 1383-1392
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google's Street View. Such imagery is extremely valuable in a number of potential applications, ranging from augmented reality to 3D mode...
     
Finding paths through the world's photos
Found in: ACM Transactions on Graphics (TOG)
By Noah Snavely, Rahul Garg, Richard Szeliski, Steven M. Seitz
Issue Date:August 2008
pp. 1-49
When a scene is photographed many times by different people, the viewpoints often cluster along certain paths. These paths are largely specific to the scene being photographed, and follow interesting regions and viewpoints. We seek to discover a range of s...
     
Photo tourism: exploring photo collections in 3D: Copyright restrictions prevent ACM from providing the full text for this work.
Found in: ACM SIGGRAPH 2006 Papers (SIGGRAPH '06)
By Noah Snavely, Richard Szeliski, Steven M. Seitz
Issue Date:July 2006
pp. 42-es
We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each pho...
     
Photo tourism: exploring photo collections in 3D: Copyright restrictions prevent ACM from providing the full text for this work.
Found in: Material presented at the ACM SIGGRAPH 2006 conference (SIGGRAPH '06)
By Noah Snavely, Richard Szeliski, Steven M. Seitz
Issue Date:July 2006
pp. 42-es
We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each pho...
     
Stylizing 2.5-D video
Found in: Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering (NPAR '06)
By C. Lawrence Zitnick, Michael Cohen, Noah Snavely, Sing Bing Kang
Issue Date:June 2006
pp. 63-69
In recent years considerable interest has been given to non-photorealistic rendering of photographs, video, and 3D models for illustrative or artistic purposes. Conventional 2D inputs such as photographs and video are easy to create and capture, while 3D m...
     
Spacetime faces: high resolution capture for modeling and animation
Found in: ACM Transactions on Graphics (TOG)
By Brian Curless, Li Zhang, Noah Snavely, Steven M. Seitz
Issue Date:August 2004
pp. 548-558
We present an end-to-end system that goes from video sequences to high resolution, editable, dynamically controllable face models. The capture system employs synchronized video cameras and structured light projectors to record videos of a moving face from ...
     
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