Stacking autocorrelograms to map Moho depth with high spatial resolution in southeastern Australia

AusMoho: the variation of Moho depth in Australia

Object-based Approach to Map Semi–natural Areas in Mountain Region with High Spatial Resolution Images

Semi–natural areas are characterized by cultivated and natural areas with continuous transition zones. Especially in the alpine regions, this type of land-cover is predominant. The paper presents a method to classify semi –natural alpine areas by combining the spatial detail of orthophotos with the spectral information of SPOT satellite images. As case study, an alpine region in South Tyrol (It...

A New High Resolution Depth Map Estimation System Using Stereo Vision and Kinect Depth Sensing

Depth map estimation is an active and long standing problem in image/video processing and computer vision. Conventional depth estimation algorithms which rely on stereo/multi-view vision or depth sensing devices alone are limited by complicated scenes or imperfections of the depth sensing devices. On the other hand, the depth maps obtained from the stereo/multi-view vision and depth sensing dev...

Spatio-temporal Super-Resolution Using Depth Map

This paper describes a spatio-temporal super-resolution method using depth maps for static scenes. In the proposed method, the depth maps are used as the parameters to determine the corresponding pixels in multiple input images by assuming that intrinsic and extrinsic camera parameters are known. Because the proposed method can determine the corresponding pixels in multiple images by a one-dime...

RGB-Z: Mapping a Sparse Depth Map to a High Resolution RGB Camera Image

D06 – Scalable object recognition and semi-autonomous object learning with an anthropomorphic robot head,