Model Construction and Shape Recognition from Occluding Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Properties of Straight Homogeneous Generalized Cylinders and Their Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Extremal Boundaries for 3-D Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Surface shape from the deformation of apparent contours
International Journal of Computer Vision
Recognizing algebraic surfaces from their outlines
International Journal of Computer Vision
How many 2D silhouettes does it take to reconstruct a 3D object?
Computer Vision and Image Understanding
Robust Shape Recovery from Occluding Contours Using a Linear Smoother
International Journal of Computer Vision
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
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We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, such as when a mobile robot explores an environment. In this case we present an algorithm for determining whether a new silhouette could come from the same object that produced two previously seen silhouettes. In a basic case, when cross-sections of each silhouette are single line segments, we can check for consistency between three silhouettes using linear programming. This provides the basis for methods that handle more complex cases. We show many experiments that demonstrate the performance of these methods when there is noise, some deviation from the assumptions of the algorithms, and partial occlusion. Previous work has addressed the problem of precisely reconstructing an object using many silhouettes taken under controlled conditions. Our work shows that recognition can be performed without complete reconstruction, so that a small number of images can be used, with viewpoints that are only partly constrained.