How to Digitise Annotations and Labels in 3D Models: A Guide to OCR

January 26, 2024

Digitise Annotations and Labels in 3D Models: A Guide to OCR

Annotation is the description or comments to explain certain things. The image annotation is used on 2D and 3D shapes to explain various parts. Try to check all angles of image annotation before finishing all image annotations of 3D shapes.

OCR technology is commonly a resourceful application for extracting data from images. OCR Image to text converters are usually applied to 2-D images. For digitising annotation in 3-D models mapping 2-D image annotation is necessary. Once able to extract text for 2-D models then map annotation with 3-Models.

a man working on 3d models

The image to pdf conversion is simple for sharing text files. The 2-D images contain important information and it is necessary to extract all information. 

There are specific steps involved in applying the 3-D rendering process by OCR tools.

Key Takeaways on Digitising Annotations and Labels in 32 Models

  1. Understanding Annotation in 3D Models: Annotation serves to explain various parts of 2D and 3D shapes, ensuring clarity and understanding.
  2. OCR Technology Overview: OCR technology extracts data from images, with OCR image-to-text converters typically applied to 2D images.
  3. Mapping 2D Annotations to 3D Models: To digitise annotations in 3D models, mapping 2D image annotations is necessary, followed by extraction and mapping to the 3D model.
  4. Steps for 3D Rendering with OCR: Specific steps involve rendering 2D images, processing them, using OCR and text recognition, and post-processing for accuracy.
  5. Enhancing Image Quality: Before conversion, enhancing image quality through cropping, resizing, and image processing techniques is crucial for accurate annotations.
  6. OCR and Text Recognition Tools: Use OCR libraries like Tesseract and Google OCR, fine-tuning models for increased accuracy in image-to-text conversion.
  7. Post-Processing 3D Annotations: Clean and refine OCR results, ensuring accuracy, spelling correctness, and clarity before submission.
  8. Matching 2D and 3D Results: Verify annotation mapping in the 3D model, ensuring accuracy and clarity, potentially using password protection for PDF annotations.
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2-D Rendering of Image

OCR technology is used to render 2-D images or snapshots from various angles. The simple process of finding 3D images snapshots in 2-D. When able to convert labels from all angles then it is easy to find image to text conversion in 3-D files. Take a shot of 2 D annotation of images and adjust accordingly to 3-D shape. Sometimes it may be possible you are not satisfied with the angle of annotation in 3-D shape.

Processing of 2-D images:

Before converting 2D into 3D images for annotation, just crop and resize all images. Try to focus on relevant data for inserting annotations. It is necessary to use enhanced image quality for filtering or image processing techniques.

OCR and Text Recognition:

OCR libraries are simply able to recognise text from images. Popular OCR libraries are Tesseract, ItPDF.com, Google OCR, Microsoft OCR, etc. Fine-tune OCR model if needed to increase the accuracy of image to text conversion. OCR tools are equipped to convert 2-D annotation into 3-D annotation format relative to images shape. You need to understand all annotations have been written by keeping in mind the 2-D model.

Post Processing 3D Annotation:

Try to clean and refine all OCR results to correctly define the area for annotation. Clear all inaccuracies and check speeling before pasting text. Correctly check any kind of errors in image quality and check text format for final submission. There can be various errors in annotation text like spelling of text. The other major error is clarity of annotation due to image quality. Better to recheck annotation text spelling and clarity before submission of annotation.

Try to Match 2D and 3D Result:

Image to text converter simply covert 2D annotation to 3D. Recheck the area of annotation in the 3D model before submission. The mapping process should be tested before pasting annotation in a 3D model. You can covert annotation in the PDF format and can protect it with a password. Use Password Protect PDF (optional) to safeguard all annotations in the 3-D model. 

Conclusion:

The quality of 3-D annotation depends upon things like image quality. The annotation complexity is also another factor for clarity of annotation.

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