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A method and equipment for generating fisheye camera image

A fisheye camera and camera technology, applied in the field of computer vision, can solve the problems of less information and insufficient coverage of a single image

Pending Publication Date: 2020-03-27
UISEE SHANGHAI AUTOMOTIVE TECH LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The field of view (Field of View, FOV) of the real / simulated pinhole model cameras currently used in computer vision applications such as autonomous driving, robots, and simulation engines is generally less than 180 degrees, and the coverage area is not wide enough. The information contained in the picture is also less, which brings great limitations in the exploration of computer vision related algorithms

Method used

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  • A method and equipment for generating fisheye camera image
  • A method and equipment for generating fisheye camera image
  • A method and equipment for generating fisheye camera image

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Embodiment Construction

[0046] The application will be described in further detail below in conjunction with the accompanying drawings.

[0047] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0048] Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and / or nonvolatile memory such as read only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0049] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random acce...

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Abstract

The invention aims to provide a method and equipment for generating a fisheye camera image. The method comprises steps of determining scene coordinates corresponding to one or more pixels based on theplurality of perspective camera images and the corresponding depth camera images, and determining corresponding fisheye imaging coordinates of each pixel on the imaging plane according to the scene coordinates corresponding to each pixel and the coordinate corresponding relationship, and generating a corresponding fisheye camera image based on each pixel and the fisheye imaging coordinates thereof. According to the invention, the fisheye camera image with the large FOV can be generated based on the plurality of perspective camera images with the small FOV.

Description

technical field [0001] The present application relates to the field of computer vision, and in particular to a technique for generating fisheye camera images. Background technique [0002] The field of view (Field of View, FOV) of the real / simulated pinhole model cameras currently used in computer vision applications such as autonomous driving, robots, and simulation engines is generally less than 180 degrees, and the coverage area is not wide enough. The information contained in the picture is also less, which brings great limitations in the exploration of computer vision-related algorithms. Contents of the invention [0003] One object of the present application is to provide a method for generating fisheye camera images. [0004] According to one aspect of the present application, a method for generating a fisheye camera image is provided, the method comprising the following steps: [0005] Determining scene coordinates corresponding to one or more pixels in the plura...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/80
Inventor 于海泳
Owner UISEE SHANGHAI AUTOMOTIVE TECH LTD
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