Question #706950 on SikuliX changed: https://answers.launchpad.net/sikuli/+question/706950
fontbots proposed the following answer: Detecting an image of a 3D model from various angles and zoom levels can be a challenging task, but there are a few approaches you can consider. Here are a couple of suggestions: Feature Detection and Matching: You can use feature detection algorithms like Scale-Invariant Feature Transform (SIFT) or Speeded-Up Robust Features (SURF) to extract distinctive features from both the 3D model and the image. Then, you can match these features to find correspondences between the model and the image. By analyzing the correspondences, you can estimate the rotation and scale of the 3D model in the image. 3D Model Rendering and Comparison: Instead of directly matching features, you can render the 3D model from different viewpoints using computer graphics techniques. Then, compare the rendered images with the target image using methods like normalized cross-correlation or structural similarity index (SSIM). By finding the best match or highest similarity score, you can estimate the rotation and scale of the 3D model in the image. Both approaches require some computational resources and may involve complex algorithms. OpenCV, a popular computer vision library, provides implementations of feature detection algorithms and image matching techniques that you can leverage for your task. It's worth noting that these suggestions provide a starting point, but depending on the specific requirements and constraints of your application, additional techniques or refinements may be necessary. Experimentation and fine-tuning will likely be required to achieve accurate and robust results.also visit https://fontbots.com/ -- You received this question notification because your team Sikuli Drivers is an answer contact for SikuliX. _______________________________________________ Mailing list: https://launchpad.net/~sikuli-driver Post to : [email protected] Unsubscribe : https://launchpad.net/~sikuli-driver More help : https://help.launchpad.net/ListHelp
