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Obtaining a 3D description of man-made and natural environments is a basic task in Computer Vision, Photogrammetry and Remote\udSensing. New active sensors provide the possibility of capturing range information by images with a single measurement. With this\udnew technique, image-based active ranging is possible which allows for capturing dynamic scenes, e.g. with moving pedestrians or\udmoving vehicles. The currently available range imaging devices usually operate within the close-infrared domain to capture range and\udfurthermore active and passive intensity images. Depending on the application, a 3D description with additional spectral information\udsuch as thermal-infrared data can be helpful and offers new opportunities for the detection and interpretation of human subjects and\udinteractions. Therefore, thermal-infrared data combined with range information is promising. In this paper, an approach for mapping\udthermal-infrared data on range data is proposed. First, a camera calibration is carried out for the range imaging system (PMD[vision]\udCamCube 2.0) and the thermal-infrared system (InfraTec VarioCAM hr). Subsequently, a registration of close-infrared and thermal\udinfrared intensity images derived from different sensor devices is performed. In this context, wavelength independent properties are\udselected in order to derive point correspondences between the different spectral domains. Finally, the thermal infrared images are\udenhanced with information derived from data acquired with the range imaging device and the enhanced IR texture is projected onto the\udrespective 3D point cloud data for gaining appropriate infrared-textured 3D models. The feasibility of the proposed methodology is\uddemonstrated for an experimental setup which is well-suited for investigating these proposed possibilities. Hence, the presented work\udis a first step towards the development of methods for combined thermal-infrared and range representation

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

FUSING PASSIVE AND ACTIVE SENSED IMAGES TO GAIN INFRARED-TEXTURED 3D MODELS