Abstract
The discussion of Chapter 2 presented several principles for generic object detection and delineation. In particular, Principle 2 advocated the use of primitive volumetric forms as building blocks for complex object models. The idea behind such a strategy is that these simple primitive forms can be readily extracted from image data, while still maintaining expressive power by combination into complex shapes. This approach raises two natural questions:
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What primitives will be used?
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What constraints and features can be used to reliably extract them?
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© 2000 Springer Science+Business Media New York
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Shufelt, J. (2000). Primitives and Vanishing Points. In: Geometric Constraints for Object Detection and Delineation. The Springer International Series in Engineering and Computer Science, vol 530. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5273-4_3
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DOI: https://doi.org/10.1007/978-1-4615-5273-4_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7405-3
Online ISBN: 978-1-4615-5273-4
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