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Large view field multiple solution imaging method based on reflection-retraction mechanism

A multi-resolution, imaging method technology, applied in the field of computer vision, can solve the problems that rotating cameras are not suitable for dynamic scenes, high cost, and unable to capture a wide range of scenes at the same time

Inactive Publication Date: 2006-03-08
XI AN JIAOTONG UNIV
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Problems solved by technology

To obtain a large field of view, a refraction system, such as a fisheye lens, can be used alone, but the distortion of the fisheye lens is difficult to describe with an accurate model, and it cannot provide multi-resolution; it can also be achieved by using a rotating camera, but the rotation Cameras are not suitable for dynamic scenes, because they cannot capture a large area of ​​the scene at the same time; using multiple cameras can solve the problem to a certain extent, but the cost is high, and cannot be applied to most vehicles; use a hybrid system of reflection and refraction, such as omnidirectional camera, but its resolution does not change with the azimuth angle, and the highest resolution cannot meet the safety requirements of the vision system

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  • Large view field multiple solution imaging method based on reflection-retraction mechanism
  • Large view field multiple solution imaging method based on reflection-retraction mechanism
  • Large view field multiple solution imaging method based on reflection-retraction mechanism

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the above-mentioned technical scheme and the accompanying drawings and principles of the description.

[0024] 1. Principle of multi-resolution catadioptric system

[0025] 1.1 Proof of Single View Constraint

[0026] As a reflective-refractive system, it is highly desirable that it has a single viewpoint [6] , only in this way can the five-dimensional plenoptic function be determined [7] , that is, a geometrically correct transmission image is produced from the captured deformed image. This is because, within the constraints of a single viewpoint, each pixel in the captured image corresponds to the radiance of light passing through the viewpoint in some direction. Since the geometric relationship of the reflection-refraction system is known, the direction corresponding to each pixel can be calculated in advance. Therefore, it is possible to map the radiance value of each pixel onto ...

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Abstract

Elliptoid cone mirror surface and camera above the said mirror surface constitutes a reflection-refraction system. Horizontal section of the elliptoid cone mirror surface is an ellipse. The part of cambered surface with minor curvature is faced to watch center. The method includes steps: building a model in single vision point; spatial scene transformed to planar image; image plane coordinate transformed to world coordinate system, establishing horizontal viewing field and horizontal resolution as well as vertical viewing field and vertical resolution, thus, forming a transmissive projected image; computer processes the image through computer vision algorithm. Resolution of the image is higher in part with smaller curvature. Lower resolution in left and right side guarantees lager horizontal viewing field. The imaging method obtains image close to perception characteristic of human eye.

Description

technical field [0001] The invention belongs to the field of computer vision, relates to an imaging system in computer vision, in particular to a large field of view multi-resolution imaging method based on a reflection-refraction mechanism. Background technique [0002] 1 Introduction [0003] Since the 1990s, the automatic driving of vehicles has been a research hotspot in the field of automobiles, information and automatic control. [1][2] . Intelligent vehicle is a vehicle automatic driving control system that integrates multiple functions such as environmental perception, planning decision-making, and maneuvering control. It is also a key technology in the current research on "Intelligent Transformation System (ITS)". Smart vehicles can perceive the external environment through active sensors (such as lidar / millimeter wave radar) or passive sensors (such as vision sensors). In terms of realizing vehicle perception of the external environment, after years of exploratio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G02B17/08H04N5/225
Inventor 李青郑南宁马琳程洪
Owner XI AN JIAOTONG UNIV