Titlebook: Advances in Visual Computing; 14th International S George Bebis,Richard Boyle,Panpan Xu Conference proceedings 2019 Springer Nature Switzer

Genome

Dual Snapshot Hyperspectral Imaging System for 41-Band Spectral Analysis and Stereo ReconstructionA geometrical alignment, radiometric calibration and normalization is needed to perform accurate measurements. Furthermore, the developed system will be evaluated with regard to its applicability for medical assistance functions.

Encoding

自负的人

Categories of Objectors to Military Servicee, which helps to solve the TB and TD problems at the same time. The model demonstrates high results on both problems. The shared convolution encoder allows to reduce the number of parameters and consumed memory compared to separate models without reducing the model performance.

insolence

Ablation

Sustainable Energy and Transport Systems,efueling boom arm, which occludes the receiving aircraft. The occlusion effects of the boom are quantified in order to determine which pixels are not viable for stereo image processing to reduce noise and increase efficiency of estimating aircraft pose from stereo images.

拾落穗

善变

U-Net Based Architectures for Document Text Detection and Binarizatione, which helps to solve the TB and TD problems at the same time. The model demonstrates high results on both problems. The shared convolution encoder allows to reduce the number of parameters and consumed memory compared to separate models without reducing the model performance.

痛苦一生

主动

Augmenting Flight Imagery from Aerial Refuelingefueling boom arm, which occludes the receiving aircraft. The occlusion effects of the boom are quantified in order to determine which pixels are not viable for stereo image processing to reduce noise and increase efficiency of estimating aircraft pose from stereo images.

nonchalance

Hierarchical Semantic Labeling with Adaptive Confidenceducing any new errors, and a statistical guarantee of confidence for the final labels. We additionally provide a new set of hierarchical metrics to properly evaluate the approach. Multiple synthetic and real datasets are examined to demonstrate how the framework can quickly and efficiently resolve unconfident predictions.