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Cylinders in Three-Dimensional Space01:28

Cylinders in Three-Dimensional Space

A cylindrical surface is generated when a two-dimensional profile curve is translated along a straight line in three-dimensional space. The translated copies of the curve form a surface composed of parallel rulings, each oriented in the same fixed direction. This construction allows many three-dimensional forms to be described using relatively simple planar equations.In Cartesian coordinates, a cylindrical surface is often recognized by an equation that omits one of the three variables. For...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Divergence Theorem in 3D Space01:20

Divergence Theorem in 3D Space

In vector calculus, flux measures the total flow of a vector field through a surface. For a closed surface in three-dimensional space, this means measuring how much of the field passes outward through every point on the boundary. Directly calculating this flux can be difficult when the surface has a complicated or irregular shape. The Divergence Theorem provides a powerful alternative by relating surface flux to behavior inside the enclosed region.The Divergence Theorem states that the outward...
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Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...

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Related Experiment Video

Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Three-dimensional subband coding of video.

C I Podilchuk1, N S Jayant, N Farvardin

  • 1Signal Process. Res. Dept., AT&T Bell Labs., Murray Hill, NJ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

This study introduces 3-D spatio-temporal subband decomposition for video coding, achieving competitive results at various bitrates using adaptive differential pulse code modulation (ADPCM) and novel vector quantization methods.

Related Experiment Videos

Last Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Digital signal processing
  • Video compression technologies
  • Information theory

Background:

  • Traditional video coding methods face limitations in efficiency and quality.
  • Spatio-temporal subband decomposition offers a promising framework for advanced video compression.

Purpose of the Study:

  • To present a novel video coding scheme utilizing three-dimensional (3-D) spatio-temporal subband decomposition.
  • To evaluate the performance of this framework at different bitrates (1 Mbps, 384 kbps, 128 kbps).

Main Methods:

  • Implementation of a 1-Mbps coder using adaptive differential pulse code modulation (ADPCM) and adaptive bit allocation.
  • Development of a 384-kbps coder employing ADPCM for low-frequency bands and geometric vector quantization (GVQ) for high-frequency bands.
  • Design of a 128-kbps coder utilizing an unbalanced tree-structured vector quantizer (UTSVQ) for low-frequency bands and GVQ for high-frequency bands.

Main Results:

  • The 1-Mbps coder is suitable for video storage on CD-ROM.
  • GVQ effectively exploits the structure in higher frequency bands.
  • The proposed coding schemes demonstrate competitive performance compared to traditional video coding techniques.

Conclusions:

  • The 3-D spatio-temporal subband decomposition framework is a viable approach for video coding.
  • The developed coding schemes offer efficient compression at various bitrates.
  • Further investigation into this framework for diverse coding schemes and applications is warranted.