探索您面部的真實對稱程度。AI 神經網路精準定位 68 個面部特徵點,多維度測算眼睛、眉毛、顴骨、下頜與唇部對稱度。
最佳檢測建議:正面正對鏡頭、頭部不要傾斜、光線均勻、表情放鬆。
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電腦視覺三角定位的三個核心階段。
上傳一張不傾斜、平視鏡頭的清晰面部照片。
AI 演算法根據鼻樑中軸建立基準線,精準計算雙側各對稱點的相對位移偏差。
生成綜合對稱度總分,並逐一列出眼、眉、唇、頜的細項百分比。
外眼角水平對齊程度與瞳距平衡
兩側臉頰最寬點的均等性
下頜骨弧度與下巴居中程度
兩側嘴角水平高度及唇峰平整度
眉峰與眉尾距離面部中線的對稱度
探索您面部的真實對稱程度。AI 神經網路精準定位 68 個面部特徵點,多維度測算眼睛、眉毛、顴骨、下頜與唇部對稱度。
臉部對稱性是認知心理學與演化美學中研究最廣泛的視覺和諧指標之一。
清楚了解自己最具骨相美與平衡感的面部特徵。
單側咀嚼、單側托腮或習慣性側睡可能在潛移默化中影響下頜肌肉走向。
依托 WebAssembly 技術在手機/電腦本機完成所有計算,絕不上傳雲端。
正在定位 68 個特徵座標點
臉部對稱性分析 · 基於 68 個解剖學特徵點
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Bilateral facial symmetry refers to how closely the left and right sides of your face mirror one another across a vertical central axis. Our Face Symmetry Tester uses face-api.js (TensorFlow.js) to detect your face and map 68 canonical 2D facial landmarks across five structural zones: the Eyebrows (landmarks 18–27), Eyes (landmarks 37–48), Nose Bridge & Tip (landmarks 28–36), Lips & Mouth Corners (landmarks 49–68), and Cheekbone-to-Jaw Contour (landmarks 1–17).
To calculate your score objectively, the algorithm establishes a sagittal midline anchored through the glabella (between the brows), nasal bridge, philtrum, and chin pogonion. It then measures both horizontal distance ratios (how far each left landmark sits from the midline compared to its right counterpart) and vertical height alignment (whether one eye corner, brow arch, or lip corner sits slightly higher than the other). Each feature zone receives a 0–100% balance rating, which is weighted into your composite facial symmetry percentage.
Perfect 100% bilateral symmetry does not exist in human biology. Studies in craniofacial anthropometry show that nearly every human face exhibits natural 2–6% directional asymmetry caused by mastication (chewing side preference), sleeping posture, and normal bone development. Furthermore, a 2D photo test measures pixel projection rather than 3D CT bone structure. Results are for informational entertainment only, not medical or orthodontic advice.
All 68-landmark symmetry math executes locally inside your browser tab via WebAssembly and WebGL. Verify it yourself: open your browser DevTools (F12), click the Network tab, upload a photo, and see that no image request is ever sent to any server.
關於臉部對稱性測試的所有疑問。