Research and Development: "3D Shape Recognition and Shape Classification"
Using convolution techniques that minimize distortion of shape features! Classification is possible even when viewing the overall shape from above.
"Shape classification" is the task of classifying three-dimensional shapes into predefined classes. It uses convolution techniques that minimize the loss of shape features, allowing for classification whether focusing on a part of the shape or viewing the overall shape from a broader perspective. It can be utilized not only for simple class categorization but also for other tasks. Additionally, when calculating cutter paths for NC lathes for injection molding and forging molds, it automatically identifies bolt hole shapes from the mold model and removes them from the overall shape. [Features] - Uses convolution techniques that minimize the loss of shape features - Allows classification whether focusing on a part of the shape or viewing the overall shape - Can be utilized not only for simple class categorization but also for other tasks *For more details, please refer to the PDF document or feel free to contact us.
- Company:アストライアーソフトウエア
- Price:Other