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Tangent Planes to a Parametric Surface01:22

Tangent Planes to a Parametric Surface

A tangent plane provides a linear approximation to a curved surface at a specific point, capturing the local behavior of the surface. It can be understood as the plane that just touches the surface at that point and is defined by the tangent directions of curves lying on the surface. These tangent directions arise naturally when the surface is described parametrically, allowing systematic construction of the plane.For a surface expressed in parametric form, the position of any point is...
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A parametric surface in three-dimensional space is defined through a vector-valued function\begin{equation*}\mathbf{r}(u, v) = x(u, v)\mathbf{i} + y(u, v)\mathbf{j} + z(u, v)\mathbf{k}\end{equation*}where u and v are parameters within a specified domain D in the uv-plane. The functions x(u, v), y(u, v), and z(u, v) define the coordinates of points on the surface. As u and v vary over D, the position vector r(u, v) traces a continuous surface in space. This parametric representation is essential...
Tangent Planes to Surfaces01:19

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Related Experiment Video

Updated: Jun 20, 2026

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
10:00

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

A novel method for shape from focus in microscopy using Bezier surface approximation.

Mannan Saeed Muhammad1, Tae-Sun Choi

  • 1Signal and Image Processing Laboratory, School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, South Korea.

Microscopy Research and Technique
|September 3, 2009
PubMed
Summary
This summary is machine-generated.

This study presents a new shape from focus method using modified pixel intensities and Bezier surfaces for accurate 3D microscopic object reconstruction. The technique enhances depth map precision by addressing common inaccuracies in image sequences.

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Area of Science:

  • Microscopic imaging
  • 3D reconstruction
  • Computational optics

Background:

  • Accurate 3D shape computation of microscopic objects is crucial for scientific analysis.
  • Existing shape from focus methods often suffer from depth map inaccuracies due to noise and missing information.

Purpose of the Study:

  • To introduce a novel shape from focus method for precise 3D microscopic object reconstruction.
  • To improve depth map accuracy by addressing limitations of existing techniques.

Main Methods:

  • A new focus measure is proposed, modifying pixel intensities by subtracting the maximum of first and last frame values.
  • An initial depth map is generated using focused pixel energy and frame number.
  • Bezier surface approximation is employed to refine the depth map and overcome inaccuracies.

Main Results:

  • The proposed method effectively computes 3D shapes of microscopic objects.
  • Comparative analysis on synthetic and real image sequences demonstrates superior accuracy.
  • The Bezier surface approximation significantly enhances depth map quality.

Conclusions:

  • The novel shape from focus method provides an effective solution for accurate 3D microscopic shape reconstruction.
  • The integration of modified pixel intensities and Bezier surfaces overcomes key limitations in depth map generation.
  • This technique offers a robust approach for analyzing microscopic structures.