Rough terrain profiling using digital image correlation

Displacement monitoring of a Long-Span Arch Railway Bridge using Digital Image Correlation (DIC)

There is an escalating demand for condition monitoring enhancement of transport infrastructures worldwide. Bridges are of vital importance in transportation infrastructure and need such monitoring. In this research, a non-contact vision-based technique called Digital Image Correlation (DIC) was used to calculate the bridge displacements. A high frame rate camera with 4K capability was used for ...

Watermarking Digital Image Using Fuzzy Matrix Compositions and Rough Set

Watermarking is done in digital images for authentication and to restrict its unauthorized usages. Watermarking is sometimes invisible and can be extracted only by authenticated party. Encrypt a text or information by public – private key from two fuzzy matrix and embed it in image as watermark. In this paper we proposed two fuzzy compositions Product-Mod-Minus, and Compliment-Product-Minus. Em...

Digital Image Correlation

Rough Terrain Visual Odometry

We present an integrated system to localize a mobile robot in rough outdoor terrain using visual odometry. Our previous work [1] presented a visual odometry solution that estimates frame-to-frame motion from stereo cameras and integrated this incremental motion with a low cost GPS. We extend that work through the use of bundle adjustment over multiple frames. Bundle adjustment helps to reduce t...

Digital Image Correlation Analyses Using Moving Least Squares Approximation

Introduction Moving least squares approximation is one kind of meshless methods in which the approximation is built from nodes only. Comparing to mesh-based methods, meshless methods have advantages on (1) refining is simpler to incorporate, (2) moving discontinuities can be treated easily, (3) large deformation can be handled robustly, (4) higher-order continuous shape functions, (5) non-local...