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Related Concept Videos

Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...

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Related Experiment Video

Updated: May 29, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

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Published on: March 14, 2018

The entry-exit method of shadow boundary segmentation.

L N Hambrick1, M H Loew, R L Carroll

  • 1Environmental Satellite Data, Inc., 5200 Auth Road, Suitland, MD 20746.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

A novel entry-exit method interprets complex shadows by analyzing boundary segments and vertices. This approach links shadow boundary extraction with shape inference for arbitrary surfaces.

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Area of Science:

  • Computer Vision
  • Computational Geometry
  • Image Processing

Background:

  • Interpreting shadows from arbitrarily shaped surfaces is challenging.
  • Existing methods often struggle with complex shadow boundaries and occlusions.

Purpose of the Study:

  • To develop a new method for interpreting arbitrarily shaped shadows.
  • To link shadow boundary extraction with shape inference.

Main Methods:

  • Segmenting and labeling shadow boundaries using an entry-exit vertex approach.
  • Identifying junctures where light rays enter or exit the shadow boundary.
  • Utilizing object/surface knowledge to resolve ambiguities from occlusions.

Main Results:

  • Successfully identifies entry-exit vertices for shadow interpretation.
  • Establishes a connection between shadow boundary extraction and shape inference.
  • Enables interpretation of shadows from arbitrarily shaped surfaces.

Conclusions:

  • The entry-exit method provides a robust framework for shadow interpretation.
  • This method enhances shape inference capabilities by analyzing shadow geometry.
  • It offers a significant advancement in understanding complex shadow formations.