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Seam carving resizes images along low-energy paths rather than uniformly scaling. Remove unimportant regions (sky, flat walls) while preserving people and objects. Visualize the carved seams, then export the resized result.
内容感知图像通过接缝雕刻调整大小 - 沿着低能量路径移除或扩展，可视化接缝。
Seam carving is an algorithm that resizes images by removing or inserting 'seams' — connected paths of low-energy pixels. Content such as people and objects is preserved while flat regions absorb the resize.
Energy represents how 'important' each pixel is — typically computed from image gradients (Sobel/Scharr). Low-energy pixels (uniform regions) are removed first.
Forward energy considers the discontinuity the seam insertion or removal would introduce, producing noticeably fewer artifacts than standard backward (gradient-only) energy.