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Related Concept Videos

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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Focusing of Light in the Eye01:16

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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...
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Related Experiment Video

Updated: Jul 1, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Dynamic projection mapping for non-planar objects with a variable focus lens and visual feedback.

Shangen Tang, Lihui Wang, Fengnian Song

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |March 4, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an adaptive 3D projection system that overcomes limitations of current dynamic projection mapping. It achieves stable, in-focus projection on moving, non-planar objects using liquid lens technology.

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    Area of Science:

    • Computer Vision
    • Optics
    • Robotics

    Background:

    • Dynamic projection mapping struggles with moving objects due to speed, depth-of-field, and shape limitations.
    • Existing methods often fail to maintain focus or accurate mapping on non-planar surfaces.

    Purpose of the Study:

    • To develop an adaptive 3D projection system for dynamic mapping on moving, non-planar objects.
    • To overcome the limitations of conventional projection mapping techniques.

    Main Methods:

    • Utilized liquid lens optics for maintaining focus on objects with varying depths.
    • Implemented object detection to determine the location of non-planar moving targets.
    • Developed algorithms for calculating projection content based on real-time object location.

    Main Results:

    • Successfully projected an always-in-focus image onto a non-planar moving object.
    • Demonstrated stable and accurate projection mapping, creating a "printed" visual effect.
    • The system adapts to object movement and complex shapes.

    Conclusions:

    • The proposed adaptive 3D projection prototype effectively addresses key challenges in dynamic projection mapping.
    • Liquid lens technology enables robust focus control for non-planar surfaces.
    • This innovation opens possibilities for enhanced visual experiences with moving objects.