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3D Imaging Technology - 9 Dimensional Assessment (Technical Insights) : Advanced Imaging Technologies Enabling Next Generation Applications

  • December 2014
  • 48 pages
  • Frost & Sullivan
Report ID: 2604049

Summary

Table of Contents

Research Outline

There have been rapid developments in three-dimensional (3D) imaging technologies. The hardware configurations have improved and have become cheaper which makes the real time, interactive 3D imaging applications available to everyone. With the 3D imaging technologies making a mark in this world, investors are flocking to the entrepreneurs and the start-ups aiming for a share in the 3D imaging market, which has a huge potential for growth in the future.
The research service offers insights primarily on nine dimensions of 3D Imaging technology.
The 9 dimensions of the research service can be listed as:
•Year of Impact
•Market Potential
•Global Footprint
•IP Activity
•Funding
•Breadth of Industries
•Megatrend Impact
•Potential Points of Convergence
•Size of Innovation Ecosystem

Key Findings

Wide scale adoption expected by 2018

3D imaging technology has been adopted in industries such as healthcare, defense and security, media and entertainment, machine vision and industrial automation. Research and development in the field of 3D imaging is expected to reduce the costs and improve the performance and programmability of 3D imaging technology.

Growth across multiple segments
Growth in multiple segments and higher prospects of adoption and commercialization are going to be the major drivers for 3D imaging technology.

North America leading in 3D imaging
In technology adoption and research activities, North America is leading, followed by Europe and countries such as Japan, China, and Korea in the Asia Pacific region.

United States tops in publishing patents
Maximum number of patents have been filed by the United States followed by Europe.

North America leads in funding scenario
North America is leading in terms of funding followed by Europe and APAC.

Highest adoption potential in healthcare
Advancement in 3D imaging technology and consequent reduction in costs are going to drive adoption across varied industries, including healthcare, industrial automation, consumer electronics

3D imaging technology–Zero doubts
The use of 3D imaging technology will result in better clarity of images and an enhanced visualization experience and human-machine interaction.

Potential for convergence–Huge
3D imaging technology, with its wide variety of applications, has great potential for convergence of technologies. 3D wearable computing in combination with touch less sensing can be used to create next generation user interface.

Universities to Companies
Companies, universities, and research labs are working on 3D imaging technologies across the globe, which demonstrates the promise of this technology in various applications.

Technology Snapshot

•3D imaging, or stereoscopy, is an optical technique where two images of the same object are blended into one, creating a 3D appearance.
•3D imaging captures the 3D structure of scenes and objects within the viewer’s environment. The set of data points computed in 3D space is combined with the colour texture information in the form of registered 2D images, which are obtained from standard digital capture. This 3D data with or with out colour/texture information is referred by different names such as 3D model or 3D scan or 3D image.
•The 3D imaging has applications in various fields such as design, manufacturing, defence, security, entertainment, and medicine.
•Traditionally, two-dimensional (2D) images are suited for many situations; and are best suited for display images and recording. However, they are always subjected to interpretation by the human eyes. It is difficult for a computer to analyze the 2D image. Hence, 3D is needed.
•Imaging in 3D reduces the difficulties in computer vision. The idea behind viewing objects is not to analyze the colours and textures but to segment them in terms of real world objects and spatial and temporal relationships in the scene.
•The computer program can use the third-dimension to distinguish the foreground objects from the background ones.

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