Supplementary Notes: Stereonets
automatic algorithms, leading to robust estimates of joint dip and dip direction. 4 of 18 Erik Eberhardt – UBC Geological Engineering EOSC 433 Discontinuity Mapping Wyllie & Mah (2004) 3 5 of 18 Erik Eberhardt – UBC Geological Engineering EOSC 433 Stereographic Projection ...
Download Supplementary Notes: Stereonets
Information
Domain:
Source:
Link to this page:
Documents from same domain
zz yy Stress & Strain: zx zy yz xy A review
www.eoas.ubc.ca4 Stress as a Point Property Because the acting forces will vary according to the orientation of Awithin the slice, it is most useful to consider the normal tl stress( N/ A)and th d the sh hear stress ( S/ A) as the area Abecomes very small, eventually approaching zero.
In Situ Stresses & Stress Measurement
www.eoas.ubc.caan unlined tunnel). Pressure tunnel minimum for unlined tunnel 8 of 64 Erik Eberhardt – UBC Geological Engineering EOSC 433 (2017) Presentation of In Situ Stress Data The stress state at a point in a rock mass is generally presented in terms of the magnitude and orientation of the principal stresses
Introductory Guide to Zooplankton Identification
www.eoas.ubc.caDissecting microscope and plankton manual ready for the identification of plankton . 6 About this Guide This is an Introductory Guide targeted at beginners to zooplankton identification: school and university students; those starting post-graduate work; and field workers. This Guide is not
Lecture 4: Kinematic Analysis (Wedge Failure)
www.eoas.ubc.caDesign Challenge: Rock Slope Stabilization Design: A rock slope with a history of block failures is to be stabilized through anchoring. 6 of 57 Erik Eberhardt – UBC Geological Engineering EOSC 433 (2017) Rock Mass Characterization - Discontinuities The main features of rock mass geometry include spacing and frequency,
Related documents
NVIDIA | GPU Applications Catalog
images.nvidia.comON-SET, REVIEW AND STEREO TOOLS WEATHER GRAPHICS 49 Medical Imaging 54 Oil and Gas 55 Life Sciences BIOINFORMATICS MICROSCOPY MOLECULAR DYNAMICS ... • Sorts algorithms from the CUB and Modern GPU libraries • Includes Numba (JIT Python compiler), Dask (Python scheduler), NumPy, SciPy,
Digging Into Self-Supervised Monocular Depth Estimation
arxiv.orgstereo algorithms, improving depth predictions. 2.2. Self-supervised Depth Estimation In the absence of ground truth depth, one alternative is to train depth estimation models using image reconstruction as the supervisory signal. Here, the model is given a set of im-ages as input, either in the form of stereo pairs or monocu-lar sequences.
KinectFusion: Real-Time Dense Surface Mapping and …
www.microsoft.comMost SLAM algorithms must be capable of producing self-consistent scene maps and performing drift-free sensor tracking in a sequential, real-time fashion. Early SFM algorithms capable of dealing with a large number of images had either tracked camera motion incrementally, accumulating drift [2], or required off-line optimisation [10] to close ...
Lecture 7: Correspondence Matching
www.cse.psu.eduCorrelation-based Algorithms =? Task: what is the corresponding patch in a second image? 1) Need an appearance similarity function. 2) Need a search strategy to find location with highest similarity. Simplest (but least efficient) approach is exhaustive search.
Stereo and 3D Vision - courses.cs.washington.edu
courses.cs.washington.eduStereo as energy minimization We want to minimize: • This is a special type of energy function known as an MRF (Markov Random Field) – Effective and fast algorithms
End-To-End Learning of Geometry and Context for Deep ...
openaccess.thecvf.comCurrent state-of-the-art stereo algorithms often have difficulty with textureless areas, reflective sur-faces, thin structures and repetitive patterns. Many stereo algorithms aim to mitigate these failures with pooling or gradient based regularization [15, 23]. However, this often
An Experimental Comparison of Min-Cut/Max-Flow …
www.csd.uwo.cause min-cut/max-flow algorithms on graphs for solving more interesting non-binary problems. [32] was the first to use these algorithms to compute multi-camera stereo. Later, [18, 4] showed 1Greig et al. [15] consider energy (1) in the context of maximum a posteriori estimation of Markov Random Fields (MAP-MRF).
Microsoft COCO: Common Objects in Context
www.microsoft.comtruth stereo and optical ow datasets [20,21] helped stimulate a ood of interest in these areas. The early evolution of object recognition datasets [22,23,24] facil-itated the direct comparison of hundreds of image recognition algorithms while simultaneously pushing the eld towards more complex problems. Recently, the
Vision meets Robotics: The KITTI Dataset
www.mrt.kit.edualgorithms targeted to autonomous driving [1]–[7]. While our ... both stereo camera rigs is approximately 54 cm. The trunk of our vehicle houses a PC with two six-core Intel XEON X5650 processors and a shock-absorbed RAID 5 hard disk storage …