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Titlebook: Geometric Constraints for Object Detection and Delineation; Jefferey Shufelt Book 2000 Springer Science+Business Media New York 2000 3D.Na

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發(fā)表于 2025-3-23 12:17:45 | 只看該作者
Doing Business in ASEAN Marketsuch diverse problem domains as cartographic database compilation, industrial inspection and assembly, and autonomous navigation. In the cartographic domain, a successful recognition system would greatly reduce the effort needed to assemble a digital map product. An effective industrial recognition s
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發(fā)表于 2025-3-23 15:24:54 | 只看該作者
John E. Spillan,Mohammad Rahmans in it, or the imaging process. Systems operating under these constraints are able to achieve reasonable performance on the limited class of imagery which obeys these assumptions. Unfortunately, such systems typically fail on imagery outside of the specific domain for which they were designed, and
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發(fā)表于 2025-3-23 19:24:44 | 只看該作者
John E. Spillan,Mohammad Nakibur Rahman 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 quest
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發(fā)表于 2025-3-24 00:13:15 | 只看該作者
Doing Business in Emerging Europeprovide estimates of line orientation in object space; qualitatively, they can be employed to constrain the search for primitives in hypothesis space. The techniques developed in Chapter 3 exploited the primitive geometry to hypothesize plausible 3D orientations, or labels, for each line segment in
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發(fā)表于 2025-3-24 04:27:34 | 只看該作者
Cultural and Socioeconomic Environment,f image analysis create high-level object hypotheses from low-level image features, which are then subjected to verification procedures to select the best subset of hypotheses for a scene model. In Chapters 3 and 4, vanishing point detection and the resulting constraints for intermediate feature gen
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發(fā)表于 2025-3-24 06:54:15 | 只看該作者
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