Using vanishing points for camera calibration
International Journal of Computer Vision
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Robust methods for estimating pose and a sensitivity analysis
CVGIP: Image Understanding
Iterative pose estimation using coplanar feature points
Computer Vision and Image Understanding
Polynomial-Time Geometric Matching for Object Recognition
International Journal of Computer Vision
Statistical Approaches to Feature-Based Object Recognition
International Journal of Computer Vision
Matching 3-D Models to 2-D Images
International Journal of Computer Vision
Object Pose: The Link between Weak Perspective,Paraperspective, and Full Perspective
International Journal of Computer Vision
Feature-based object recognition and localization in 3D-space, using a single video image
Computer Vision and Image Understanding
Iterative pose computation from line correspondences
Computer Vision and Image Understanding
Solution of the simultaneous pose and correspondence problem using Gaussian error model
Computer Vision and Image Understanding
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Scalable Extrinsic Calibration of Omni-Directional Image Networks
International Journal of Computer Vision
Geometry and texture recovery of scenes of large scale
Computer Vision and Image Understanding
Acquisition and Visualization of Colored 3D Objects
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Vision-assisted modeling for model-based video representations
Vision-assisted modeling for model-based video representations
Constructing 3D City Models by Merging Aerial and Ground Views
IEEE Computer Graphics and Applications
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Shadow Based Method for Image to Model Registration
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
Automatic 3D to 2D Registration for the Photorealistic Rendering of Urban Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Alignment of Continuous Video onto 3D Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Estimating the Location of a Camera with Respect to a 3D Model
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
International Journal of Computer Vision
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The photorealistic modeling of large-scale objects, such as urban scenes, requires the combination of range sensing technology and digital photography. In this paper, we attack the key problem of camera pose estimation, in an automatic and efficient way. First, the camera orientation is recovered by matching vanishing points (extracted from 2D images) with 3D directions (derived from a 3D range model). Then, a hypothesis-and-test algorithm computes the camera positions with respect to the 3D range model by matching corresponding 2D and 3D linear features. The camera positions are further optimized by minimizing a line-to-line distance. The advantage of our method over earlier work has to do with the fact that we do not need to rely on extracted planar facades, or other higher-order features; we are utilizing low-level linear features. That makes this method more general, robust, and efficient. We have also developed a user-interface for allowing users to accurately texture-map 2D images onto 3D range models at interactive rates. We have tested our system in a large variety of urban scenes.