InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

arXiv:2604.03814v1 Announce Type: cross Abstract: Camera extrinsic calibration is a fundamental task in computer vision. However, precise relative pose estimation in constrained, highly distorted environments, such as in-cabin automotive monitoring (ICAM), remains challenging. We present InCaRPose, a Transformer-based architecture designed for robust relative pose prediction between image pairs, which can be used for camera extrinsic calibration. By leveraging frozen backbone features such as DI