18519274. APPARATUS AND METHOD WITH DEPTH ESTIMATION simplified abstract (Samsung Electronics Co., Ltd.)

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APPARATUS AND METHOD WITH DEPTH ESTIMATION

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Weiming Li of Beijing (CN)

Namseop Kwon of Suwon-si (KR)

Bao He of Beijing (CN)

Kyungboo Jung of Suwon-si (KR)

Myungjae Jeon of Suwon-si (KR)

Qiang Wang of Beijing (CN)

Young Hun Sung of Suwon-si (KR)

Lin Ma of Beijing (CN)

APPARATUS AND METHOD WITH DEPTH ESTIMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18519274 titled 'APPARATUS AND METHOD WITH DEPTH ESTIMATION

Simplified Explanation

The patent application describes an apparatus and method for depth estimation using time of flight (ToF) pixels in combination with left and right images to generate a depth map of a scene.

  • The method involves calculating the reliability of each ToF pixel in a ToF image.
  • The depth map is generated based on the reliabilities of the ToF pixels, as well as the left and right images.

Potential Applications

This technology could be applied in various fields such as:

  • Augmented reality
  • Autonomous vehicles
  • Robotics

Problems Solved

This technology addresses the following issues:

  • Accurate depth estimation in complex scenes
  • Enhancing the quality of 3D imaging

Benefits

The benefits of this technology include:

  • Improved depth mapping accuracy
  • Enhanced scene understanding
  • Better object recognition in 3D space

Potential Commercial Applications

This technology could be commercially applied in:

  • Camera systems
  • Lidar systems
  • Surveillance systems

Possible Prior Art

One possible prior art for this technology could be the use of stereo vision for depth estimation in computer vision applications.

Unanswered Questions

How does this technology compare to existing depth estimation methods using ToF technology?

This article does not provide a direct comparison with existing ToF depth estimation methods. Further research or a comparative study would be needed to assess the advantages and limitations of this new approach.

What are the specific technical requirements for implementing this depth estimation method in real-time applications?

The article does not delve into the technical specifications or computational requirements for real-time implementation. Understanding the hardware and software prerequisites for deploying this technology in real-world scenarios would be crucial for its practical use.


Original Abstract Submitted

An apparatus and method with depth estimation are disclosed. The method includes calculating a first reliability of each of a plurality of time of flight (ToF) pixels of a ToF image; and generating, based on the first reliabilities, a depth map of a scene based on a left image and a right image and selectively based on the ToF image.