Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
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.
Reflective Property of Parabolas01:26

Reflective Property of Parabolas

A parabola is a basic type of conic section that results from the intersection of a plane with a double-napped cone in a direction parallel to one of the cone's sides. This U-shaped curve has a distinctive reflective property: all incoming rays parallel to its axis of symmetry are directed toward a single point, known as the focus. This property is widely utilized in optical and communication technologies that require precise signal concentration.In analytic geometry, a parabola is defined as...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Parabolas01:30

Parabolas

A parabola is a fundamental curve in the family of conic sections arising from the intersection of a plane with a double-napped cone when the plane is parallel to the cone’s slant height. This geometric condition yields a unique open curve defined by its equidistance from a fixed point, the focus, and a fixed line, the directrix.A parabola is mathematically defined as the locus of all points in a plane that are equidistant from the focus and the directrix. In Cartesian coordinates, the standard...
Geometry of Hyperbolas01:30

Geometry of Hyperbolas

A hyperbola consists of all points where the absolute difference of distances to two fixed points, called foci, remains constant. The standard equation isEach branch extends infinitely and approaches two asymptotes, which guide the curve’s behavior. The parameters a and b define key features: a measures the distance from the center to each vertex along the transverse axis, while b influences the slopes of the asymptotes. The asymptotes have equationsA rectangle centered at the origin with...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Non-Local Superpatch-Based Algorithm Exploiting Low Rank Prior for Restoration of Hyperspectral Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

Deep end-to-end rolling shutter rectification.

Journal of the Optical Society of America. A, Optics, image science, and vision·2020
Same author

Local Proximity for Enhanced Visibility in Haze.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

Multilevel weighted enhancement for underwater image dehazing.

Journal of the Optical Society of America. A, Optics, image science, and vision·2019
Same author

Removal of Eye Blink Artifacts From EEG Signals Using Sparsity.

IEEE journal of biomedical and health informatics·2018
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 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

Dealing with parallax in shape-from-focus.

Rajiv Ranjan Sahay1, A N Rajagopalan

  • 1Image Processing and Computer Vision Laboratory, Department of Electrical Engineering, Indian Institute of Technology-Madras, Chennai, India. sahayiitm@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 19, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel shape-from-focus (SFF) method to accurately estimate 3-D object depth profiles, even with pixel motion. The new technique accounts for parallax, improving depth estimation accuracy in real-world scenarios.

More Related Videos

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Related Experiment Videos

Last Updated: Jun 10, 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

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Image Processing

Background:

  • Traditional shape-from-focus (SFF) methods assume no parallax, limiting their use with moving objects or cameras.
  • Pixel motion due to parallax in image sequences causes significant errors in depth estimation.
  • Existing SFF techniques fail when there is relative motion between the object and camera.

Purpose of the Study:

  • To develop a generalized shape-from-focus method capable of handling pixel motion caused by parallax.
  • To accurately estimate the depth profile of 3-D objects despite structure-dependent pixel motion.
  • To simultaneously reconstruct 3-D structure and an all-in-focus image.

Main Methods:

  • A novel degradation model is proposed to account for pixel migration effects due to parallax.
  • The relationship between pixel motion, defocus blur, and object shape is analyzed.
  • Simultaneous 3-D structure and all-in-focus image reconstruction is performed using an optimization framework with local image operations.

Main Results:

  • The proposed method effectively generalizes SFF to scenarios with parallax.
  • Pixel motion and defocus blur are shown to be intrinsically linked to the object's 3-D shape.
  • State-of-the-art performance is achieved on both synthetic and real-world data.

Conclusions:

  • The developed method significantly enhances the robustness and accuracy of shape-from-focus techniques.
  • It enables reliable 3-D depth profile estimation in the presence of camera or object motion.
  • This work provides a more practical and versatile SFF solution for various applications.