Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Identification of 3D objects from multiple silhouettes using Quadtrees/Octrees
Computer Vision, Graphics, and Image Processing
Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Reconstruction and recognition of 3D objects from occluding contours and silhouettes
Reconstruction and recognition of 3D objects from occluding contours and silhouettes
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys (CSUR)
A hierarchical data structure for multidimensional digital images
Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Shape from texture
Determining perceptually significant points on noisy boundary curves
Pattern Recognition Letters
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
How Far 3D Shapes Can Be Understood from 2D Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure From Controlled Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Level-Set Approach to 3D Reconstruction from Range Data
International Journal of Computer Vision
An Autonomous Active Vision System for Complete and Accurate 3D Scene Reconstruction
International Journal of Computer Vision
The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Judging Whether Multiple Silhouettes Can Come from the Same Object
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition
International Journal of Computer Vision
The Visual Hull of Smooth Curved Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual reconstruction of ground plane obstacles in a sparse view robot environment
Graphical Models - Special issue on SPM 05
What's NEXT? An interactive next best view approach
Pattern Recognition
Shape representation by a network of V4-like cells
Neural Networks
The visual hull of piecewise smooth objects
Computer Vision and Image Understanding
Occluded 3d object recognition using partial shape and octree model
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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A technique is presented for recognizing a 3D object (a model in an image library) from a single 2D silhouette using information such as corners (points with high positive curvatures) and occluding contours, rather than straight line segments. The silhouette is assumed to be a parallel projection of the object. Each model is stored as a set of the principal quadtrees, from which the volume/surface octree of the model is generated. Feature points (i.e. corners) are extracted to guide the recognition process. Four-point correspondences between the 2D feature points of the observed object and 3D feature points of each model are hypothesized, and then verified by applying a variety of constraints to their associated viewing parameters. The result of the hypothesis and verification process is further validated by 2D contour matching. This approach allows for a method of handling both planar and curved objects in a uniform manner, and provides a solution to the recognition of multiple objects with occlusion as demonstrated by the experimental results.