Sensors (Basel, Switzerland)

[1] Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

[2] improving plane fitting accuracy with rigorous error models of structured light-based rgb-d sensors

[3] efficient generation of 3d surfel maps using rgb–d sensors

[4] mapeamento 3d de ambientes internos usando dados rgb-d

[5] MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences

[6] Automatic Indoor as-Built Building Information Models Generation by Using Low-Cost RGB-D Sensors.

[7] Robustifying semantic cognition of traversability across wearable RGB-depth cameras.

[8] improving plane fitting accuracy with rigorous error models of structured light-based rgb-d sensors

[9] rgb-d image processing algorithm for target recognition and pose estimation of visual servo system

[10] assessment and calibration of a rgb-d camera (kinect v2 sensor) towards a potential use for close-range 3d modeling

[11] mapeamento 3d de ambientes internos usando dados rgb-d

[12] A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition