双波段热视频成像：在近环境条件下分离时变反射与发射
Dual Band Thermal Videography: Separating Time-Varying Reflection and Emission Near Ambient Conditions
把「反射-发射分离」建模成带物理约束的逐像素本征分解，并用「物体辐射缓变、背景辐射快变」的时序先验补足多波段下的欠定性——这套思路可直接迁移到可见光下的反射去除、镜面/玻璃场景重建与动态背景分离。
原文依据 temporal cues (object radiation changes smoothly while background radiation changes rapidly)
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论热相机捕获的长波红外辐射包含两部分：(a) 由物体温度与发射率决定的物体自身发射，(b) 来自周围环境的反射辐射。分离这两个分量是热成像领域长期存在的难题。即便使用多个波段，若没有关于发射率的先验，该问题仍然是欠定的。在近环境条件下，发射信号与反射信号量级相当，这一困难进一步加剧。我们提出一个双波段视频热成像框架，通过在逐像素层面结合两个互补的思路来降低这种模糊性：(i) 光谱线索（波段间发射率之比未知但固定），以及 (ii) 时序线索（物体辐射变化平缓，而背景辐射变化迅速）。我们推导了成像模型，并给出一个联合估计各波段物体发射率以及时变的物体与背景温度的算法。在日常场景中（例如咖啡壶升温、镜面上的掌纹、移动行人的反射）使用标定与未标定发射率进行的实验，证明了稳健的分离与温度场的恢复。
英文原文摘要 1202 字符
Long-wave infrared radiation captured by a thermal camera includes (a) emission from an object governed by its temperature and emissivity, and (b) reflected radiation from the surrounding environment. Separating these components is a long-standing challenge in thermography. Even when using multiple bands, the problem is under-determined without priors on emissivity. This difficulty is amplified in near ambient conditions, where emitted and reflected signals are of comparable magnitude. We present a dual-band video thermography framework that reduces this ambiguity by combining two complementary ideas at a per-pixel level: (i) spectral cues (ratio of emissivity between bands is unknown but fixed), and (ii) temporal cues (object radiation changes smoothly while background radiation changes rapidly). We derive an image formation model and an algorithm to jointly estimate the object's emissivity at each band, and the time-varying object and background temperatures. Experiments with calibrated and uncalibrated emissivities in everyday scenes (e.g., coffee pot heating up, palm print on mirrors, reflections of moving people), demonstrate robust separation and recovery of temperature fields.