Topic
Image geometry correction
About: Image geometry correction is a research topic. Over the lifetime, 4 publications have been published within this topic receiving 8 citations.
Papers
Patent•
19 Oct 2006
TL;DR: In this article, an image geometry correction device comprises a scene data producing means 1; a virtual imaging image data operation means 2; a projection image generating means 3; and an image-deforming means 9 for performing deformations and corrections to obtain the image for projection, based on the composition correction parameter which is outputted from the setting means 8.
Abstract: PROBLEM TO BE SOLVED: To produce a natural and correct three-dimensional CG image, by obtaining a continuous visual field without generating flexion or distortions, when an image, where a visual field is shifted after zooming operation, is projected on a screen with the use of a projection system, in a virtual imaging system by a plurality of virtual cameras. SOLUTION: An image geometry correction device comprises a scene data producing means 1; a virtual imaging image data operation means 2; a projection image generating means 3 for generating a virtual projection image to be a three-dimensional CG or VR image for projection, based on the data from the producing means 1 and the operation means 2; a projection system arrangement adjusting means 4; a first correction parameter setting change means 6 for changing the setting of the correction parameters of the virtual imaging system; a second correction parameters setting change means 7 for changing the setting of the correction parameters of the projection system; a composition correction parameter setting means 8 for setting the composition correction parameter of the virtual imaging system and the projection system; and an image-deforming means 9 for performing deformations and corrections to obtain the image for projection, based on the composition correction parameter which is outputted from the setting means 8. COPYRIGHT: (C)2007,JPO&INPIT
3 citations
Patent•
1 Jan 2010
TL;DR: In this paper, a three-dimensional affine transformation method employs ALBTM (a threedimensional affines model based on line feature) to express the relationship between two-dimensional space and threedimensional space, and the specific mathematical expression of ALbTM is Sax=C1AX+C2AY+C3AZ, Say=C5AX+c6AY+c7AZ, where the S is the proportional divisor of the line segment and the conjugate line segment, the C1-C3 and C5-C7 are rotary
Abstract: A three-dimensional affine transformation method employs ALBTM (a three-dimensional affine model based on line feature) to express the relationship between two-dimensional space and three-dimensional space, and the specific mathematical expression of ALBTM is Sax=C1AX+C2AY+C3AZ, Say=C5AX+C6AY+C7AZ, wherein the (ax, ay) are unit vector components of a line-segment in two-dimensional space, the (AX, AY, AZ) are unit vector components corresponding to a conjugate line segment of the line-segment in the three-dimensional space, the S is the proportional divisor of the line-segment and the conjugate line segment, the C1-C3 and C5-C7 are rotary parameters of the ALBTM. Disclosed also is geometry correction method of satellite remote sensing images, which includes step 1 obtaining at least two satellite remote sensing images data, step 2 respectively computing the model parameter for three-dimensional affine transformation of image space and terrain space of each satellite remote image on the basis of the image data and by the three-dimensional affine transformation method, step 3 defining the coordinate of center point of the image space in the terrain space according to the model parameter.
2 citations
1 Sep 2015
TL;DR: A novel method for earthquake damage assessment by using multi-angle SAR images using a fast and accurate image information algorithm and the simulation results justify the proposed method.
Abstract: Space-borne synthetic aperture radar (SAR) is very useful due to the whole-day-work capability, which has been widely used in earthquake damage assessment and rescue. This paper presents a novel method for earthquake damage assessment by using multi-angle SAR images. The scatter of building, especially for the damaged buildings, will change with the elevation angle and squint angle, which means a serious lack of information. In order to get more information, the multi-angle SAR images should be obtained. Moreover, a fast and accurate image information algorithm should be used. Furthermore, image geometry correction is realized in slant range plane. After correction operation, fusion operation is implemented. Finally, the simulation results justify the proposed method.
2 citations
11 Apr 2009
TL;DR: The GCP with image chips from the database improved the automation of image correction, and the simple wedge corner model matched GCP effectively in a certain range to GCP matching.
Abstract: With the rapid development of remote sensing technology and comprehensive applications, there are more demands on precision and efficiency for remote sensing digital orthographic maps (DOM) Selecting and positioning ground control points (GCP) is one of the most important parts of geometry correction to produce the DOM In order to reduce the manual work of selecting GCPs and increase the correction precision, it is necessary to improve the automation of image correction and advance the GCP matching method In this paper, the GCP chip database was designed from the organization and function first, and then the simple wedge corner matching algorithm, based on the database, was adopted to match GCP automatically Based on the GCP chip database, the GCP collecting and querying was introduced, and the GCP matching was carried out automatically By analyzing the results of experiment, we concluded that the GCP with image chips from the database improved the automation of image correction, and the simple wedge corner model matched GCP effectively in a certain range to GCP matching
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2015 | 1 |
| 2010 | 1 |
| 2009 | 1 |
| 2006 | 1 |