Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
Rongrong Gao,Na Fan,Changlin Li,Wentao Liu,Qifeng Chen,Rongrong Gao,Na Fan,Changlin Li,Wentao Liu,Qifeng Chen
We present a novel approach to joint depth and normal estimation for time-of-flight (ToF) sensors. Our model learns to predict the high-quality depth and normal maps jointly from ToF raw sensor data. To achieve this, we meticulously constructed the first large-scale dataset (named ToF-100) with paired raw ToF data and ground-truth high-resolution depth maps provided by an industrial depth camera. ...
