18342236. METHOD AND APPARATUS WITH SYMMETRY DETECTION simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS WITH SYMMETRY DETECTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH SYMMETRY DETECTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS WITH SYMMETRY DETECTION
Organization Name
Inventor(s)
Byungjin Kim of Pohang-si (KR)
METHOD AND APPARATUS WITH SYMMETRY DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18342236 titled 'METHOD AND APPARATUS WITH SYMMETRY DETECTION
Simplified Explanation
The method described in the abstract involves predicting score maps for different symmetry types in an input image using a machine learning model and detecting symmetry elements based on these predictions.
- Predict score maps for pre-set classes of symmetry types using a machine learning model.
- Use a feature map with multiple pixels to make predictions.
- Detect symmetry elements in the input image based on the predicted score maps.
Potential Applications
This technology could be applied in various fields such as image processing, computer vision, and pattern recognition.
Problems Solved
This technology helps in automating the process of detecting symmetry elements in images, which can be time-consuming and challenging for humans to do manually.
Benefits
The benefits of this technology include improved accuracy and efficiency in detecting symmetry elements in images, which can be useful in various applications such as quality control in manufacturing or image analysis in medical imaging.
Potential Commercial Applications
One potential commercial application of this technology could be in developing software tools for image editing or analysis that incorporate automated symmetry detection capabilities.
Possible Prior Art
One possible prior art for this technology could be existing methods for image segmentation and pattern recognition using machine learning models.
Unanswered Questions
How does this technology compare to existing methods for symmetry detection in images?
This article does not provide a comparison with other methods for symmetry detection, leaving the reader wondering about the advantages or disadvantages of this technology in comparison to existing techniques.
What are the limitations of this technology in terms of image size or complexity?
The article does not address the potential limitations of this technology when dealing with large or complex images, leaving the reader curious about its scalability and performance in such scenarios.
Original Abstract Submitted
A method may include predicting, using a machine learning model, score maps for each of a plurality of pre-set classes for predetermined symmetry types, using a plurality of pixels included in the feature map, and detecting a symmetry element of the input image based on the predicted score maps.
