Discover Your Symmetrical Face with AI-Powered Precision and Instant Reports

Hot Prompts

• Perform a precise facial symmetry analysis on the uploaded portrait image. 1. Draw a vertical symmetry axis through the center of the face. 2. Mirror the left half of the face to the right and the right half to the left respectively, generating two mirrored comparison images placed on both sides of the original image. 3. Mark the asymmetric areas (such as eye size difference, nose deviation, mouth corner height difference) with red dotted lines, and label the specific deviation distance values. 4. Calculate and display the overall facial symmetry index in the upper right corner. Ensure the analysis results are intuitive and the data is accurate.
• Analyze the facial feature symmetry of the uploaded image. Generate a visualized result that overlays a symmetry axis on the original face, marks the position differences of corresponding facial features (eyes, eyebrows, nose, mouth, cheeks) on both sides, and displays a quantitative symmetry score (0-10, with 10 being perfectly symmetrical) at the bottom of the image. Keep the original facial details clear and avoid distorting the portrait.
• Check the symmetry of facial features in the uploaded picture. Show the symmetry line in the middle of the face, highlight the asymmetric parts with simple lines, and add a basic ”symmetry rating“. Do not change the original image's color and clarity.
• High-precision facial symmetry analysis for scientific research based on the uploaded portrait. 1. Mark 68 key facial landmarks (per Dlib standard) with small white dots, overlaying vertical and horizontal reference axes. 2. Calculate Euclidean distances between corresponding bilateral landmarks, marking those exceeding the 5mm threshold as asymmetric with red lines. 3. Display a detailed data table (landmark coordinates, distance differences) on the right side. 4. Ensure pixel-level accuracy of landmark positioning, and displays a quantitative “symmetry score” (0-10, with 10 being perfectly symmetrical) at the bottom of the image.
• Conduct a 3D facial skeleton symmetry analysis on the uploaded portrait. 1. Establish a 3D facial midline axis based on key anatomical landmarks (nasion, sella, menton). 2. Generate a 3D wireframe model of the facial skeleton and overlay it on the original image. 3. Mark asymmetric skeletal regions (jaw deviation, zygomatic asymmetry) with red lines and label the angle deviation values. 4. Displays a 3D Facial Symmetry Gauge on the right side, preserving the original facial texture details.
• Facial symmetry analysis with virtual wireframe overlay for the uploaded image. 1. Construct a symmetric virtual facial wireframe based on the original face contour. 2. Overlay the wireframe on the original image, with the vertical symmetry axis in the center. 3. Highlight the gaps between the original face and the symmetric wireframe (asymmetric areas) with green dashed lines. 4. Display an overall Facial Proportion Symmetry Score (0-10, 10=perfectly symmetrical) at the upper right corner, presented with a solid contrasting background color to highlight the text.
• Facial symmetry analysis with virtual wireframe overlay for the uploaded image. 1. Construct a symmetric virtual facial wireframe based on the original face contour. 2. Overlay the wireframe on the original image, with the vertical symmetry axis in the center. 3. Highlight the gaps between the original face and the symmetric wireframe (asymmetric areas) with green dashed lines. 4. Display an overall Facial Proportion Symmetry Score (0-10, 10=perfectly symmetrical) at the upper right corner, presented with a solid contrasting background color to highlight the text.
• Semantic-aided precise facial symmetry analysis for the uploaded portrait. 1. Uses semantic feature recognition to identify key facial regions (eyes, nose, mouth, jaw) accurately. 2. Overlays a vertical symmetry axis based on semantic landmarks, ensuring alignment with true facial center. 3. Marks asymmetric areas with color-coded lines (red for facial features, blue for contours) and labels semantic feature deviation values. 4. Displays a quantitative Symmetry Rating at the top right corner, suitable for high-precision aesthetic analysis.