| """ |
| **任务名称：** 跨视角目标点匹配 / 旋转视角下的关键点对应 |
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| **场景设定：** |
| 在一个静态场景中，保持物体位置固定，摄像机围绕物体进行旋转拍摄。 |
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| **输入数据：** |
| 1. **源视图（Source View）：** 摄像机在初始视角拍摄的物体图像，图像上标注了一个特定的关键点 $A$（Target Point）。 |
| 2. **目标视图（Target View）：** 摄像机旋转到新视角后拍摄的同一物体图像。该图像上标注了若干个候选点（例如：1, 2, 3, 4）。 |
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| **任务目标：** |
| 模型需要分析两张图像的几何与纹理特征，从目标视图的候选点集合中，识别出哪一个点与源视图中的点 $A$ 对应于物体表面的同一物理位置（例如，如果点 2 与点 $A$ 是同一点，模型应输出 2）。 |
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| 1. |
| The {object} in the initial view <image_start>[image_1]<image_end> remains **static**, with a specific point marked as **A**. |
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| Imagine a camera rotating around this {object} to a new position. The final view captured from this new angle is shown below, with four candidate points marked as **1, 2, 3 and 4**. |
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| Based on the visual features and geometry, which of the numbered points in the final view corresponds to the **same physical location** as point **A** in the inital view? |
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| **Final view**：<image_start>[image_2]<image_end> |
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| A. Point 1 |
| B. Point 2 |
| C. Point 3 |
| D. Point 4 |
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| """ |
