Method for determining depth from images and relative system
A correlation, depth technology, applied in the field of digital images, can solve problems such as unsatisfactory accuracy, expensive, not easy to use and apply
Pending Publication Date: 2022-02-18
ALMA MATER STUDIORUM UNIV DI BOLOGNA
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0071] However, deep stereo architectures have problems when moving the domain (e.g. switching from synthetic data used for initial training to real target images)
[0072] It is evident that methods according to the prior art are computationally very expensive, making them not easy to use and apply
[0073] Furthermore, it has been found that under unfavorable conditions, due to the acquisition of the image(s) (e.g. poor lighting), the accuracy of the maps calculated with the method according to the technique described above is not satisfactory
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0111] In different drawings, similar parts will be denoted by the same reference numerals.
[0112] The proposed method allows the use of sparse data (better defined below but extremely precise) obtained by any method (such as a sensor or algorithm) to guide the estimation of depth (or even "depth") from single or multiple images algorithm.
[0113] Essentially, the method involves modifying the intermediate metadata processed by the algorithm, the matching cost.
[0114] These metadata and the information they encode vary between different algorithms and different methods for estimating depth or depth (eg, from a single image or from a stereoscopic image or other methods using multiple images).
[0115] In particular, it is necessary to identify which metadata is closely related to the depth to be estimated.
[0116] Therefore, when this measurement is available, the values of these metadata are modified according to the depth actually measured by the external sensor / met...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention relates to a method for determining the depth from digital images (R, T) relating to scenes (I), comprising the following steps: A. acquiring (51, 61) at least one digital image (R, T) of a scene (I), said digital image (51, 61) being constituted by a matrix of pixels (pij with i=1...W, j=1...H); B. acquiring (52, 62) sparse depth values (Sij) of said scene (I) relating to one or more of said pixels (pij) of said digital image (R, T); C. generating (53, 63) meta-data related to each pixel (pij) of said digital image (R, T) acquired in said step A correlated with the depth to be estimated of said image (I), so as to obtain a meta-data volume, given by the set of pixels (pij) of said digital image (R, T) and the value of said meta / data; D. modifying (54, 64) said meta-data generated in said step C, relating to each pixel (pij) of said digital image (R, T), correlated with the depth to be estimated, by means of the sparse depth values (Sij) acquired in said step B, so as to make predominant, within the meta-data volume (53, 63) generated in said step C for each pixel (pij) of said digital image (R, T) correlated with the depth to be estimated, the values associated with the sparse depth value (5i;) in determining the depth of each pixel (pij) and the surrounding pixels; and E. optimizing said meta-data (55,65) modified in said step D, so as to obtain a map (56, 66) representative of the depth of said digital image (R, T) for determining the depth of said digital image (R, T) itself. The present invention also relates to an image detection system (1), a computer program and a storage medium.
Description
technical field [0001] The present invention relates to a method and related system for determining depth from an image. [0002] More specifically, the present invention relates to a method for determining depth from digital images, which method has been studied and implemented to improve in particular the determination of parallax in images, and therefore for use in automatic and non-automatic learning based on Using sparse information obtained outside the process of determining depth as a guide, the effectiveness of the solution according to the prior art in determining the depth of points in the image scene is provided by sparse meaning information whose density is equal to or lower than that of the image to be processed. Background technique [0003] In the following, the description will be directed to the determination of digital stereoscopic images, preferably acquired by a stereoscopic system, but should obviously not be considered limited to this particular use, as...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T7/55G06T7/593G06T7/50
CPCG06T2207/10012G06T2207/10028G06T2200/04G06T2207/20081G06T2207/20084G06T7/55G06T7/593G06T7/50G06T7/521
Inventor 达维德·帕洛蒂马泰奥·波吉法比奥·托西斯特凡诺·马托恰
Owner ALMA MATER STUDIORUM UNIV DI BOLOGNA