以下内容引用自美国实验力学学会(Society for Experimental Mechanics, SEM)网站,其所呈现的任何内容,无论商标、文字、图像和任何其他信息,归属SEM学会所有,仅供用户个人DIC交流学习使用。


About the DIC Challenge

DIC测试挑战的目的是为数字图像相关学会组织内提供一组用于DIC软件测试和验证的图像。 这包括相关商业公司的代码和大学代码。 该挑战提供的通用图像数据集是基于典型的、以测试样件为准、并通过循环测试所创建的,可消除多种不同硬件设置所导致的实验误差,从而使DIC代码本身脱离硬件的影响且更容易评估,不受其他实验考虑干扰。 DIC测试挑战将在DIC挑战赛的指导下,在实验力学学会(SEM)的主持下进行。 测试挑战的目的不是对现有代码进行排名,而是提供一个框架,在该框架中可以测试,验证和改进所有代码以用于实验力学。

The purpose of the DIC challenge is to supply the image correlation community with a set of images for software testing and verification. This is to include both commercial codes and university codes. The use of a common image data set removes the experimental errors associated with multiple hardware setups created by a typical, specimen-based, round-robin style test. The DIC code itself is then isolated and more easily evaluated independent of other experimental considerations. The DIC Challenge will be conducted under the auspices of the Society for Experimental Mechanics (SEM) under the direction of the DIC Challenge board. The purpose of the challenge is not to rank the existing codes, but to provide a framework in which all codes can be tested, validated and improved for use in experimental mechanics.

所有信息都将在DIC Challenge网站上免费发布,并向所有人开放。 虽然图像和结果对所有人开放,但可能需要限制参与的大学代码的数量。 开放式网站仍然允许研究人员下载图像并与参与代码的公布结果进行比较。 所有结果都将发布并与用于分析的代码相关联。 也就是说,使用的每个代码都将通过名称进行标识并与其结果相关联。 因此,所有分析都将由代码开发人员自己完成。 这消除了第三方滥用软件的任何问题或疑虑。

All information will be freely disseminated at the DIC Challenge website and open to all. While the images and results are open to all, there may be a requirement to limit the number of participating university codes. The open site still allows researchers to download the images and compare with the published results from the participating codes. All results will be posted and tied to the code used for the analysis. That is, each code used will be identified by name and tied to their results. Because of this, all analysis will be done by the code developers themselves. This removes any issues or concerns about misuse of the software by a third party.

测试图像将通过实验和综合方式创建。 希望对于DIC挑战的所有三个阶段,我们都能够拥有两种类型的图像。 DIC学会主席团成员有责任创建和评估图像,以便最好地测试和挑战DIC代码。 创建图像的细节将记录在已发表的论文中,以便参与者可以了解图像的创建方式。

Test images will be created both experimentally and synthetically. It is hoped that for all three stages of the DIC challenge we will be able to have both types of images. It will be the responsibility of the DIC board members to create and evaluate the images to best test and challenge the DIC codes. Details of the creation of the images will be recorded in a published paper so participants can understand how the images were created.

将为某些图像集(样本组)提供答案,但不为其他图像集(盲测组)提供答案。 将提供示例图像以允许开发人员访问类似于盲测的图像,但是使用已知答案的样本组解决方案来帮助改进他们的代码。 使用盲测数据集对于更好地模拟最终答案未知的实际实验非常重要; 挑战用户在不知道解决方案的情况下选择“最佳”软件设置。

Answers will be supplied for some image sets (sample), but not for others (blind). The sample images will be supplied to allow the developers access to images similar to the blind tests but with known solutions to aid in the improvement of their code. The use of blind data sets is important to better mimic an actual experiment where the final answer is unknown; requiring the user to pick the "best" software settings without the aid of knowing the solution.

For more information, please visit: https://SEM.org/DICchallenge,请访问SEM学会官网,以获取更多相关验证评估的信息说明和文件数据。



2D DIC图像源文件

3D DIC(Stereo-DIC)图像源文件