This paper reviews the development of the multi-scale methodology in complexity science,
and elucidates the importance of understanding complex systems in chemical engineering …

Challenges in quantitative design of chemical processes mainly reside in their complex
structures, which are usually multi-scale in nature, and are difficult to analyze by the average …

The Curvature Scale Space (CSS) technique is considered to be a modern tool in image
processing and computer vision. Direct Curvature Scale Space (DCSS) is defined as the …

This paper presents a new algorithm that detects a set of dominant points on the boundary of
an eight-connected shape to obtain a polygonal approximation of the shape itself. The set of …

Aerial laser scanning or photogrammetric point clouds are often noisy at building
boundaries. In order to produce regularized polygons from such noisy point clouds, this …

A new method for dominant point detection is presented. This method can be classified as
search corner detection using some significant measurement other than curvature category …

Optimal polygonal approximation of closed curves differs from the case of open curve in the
sense that the location of the starting point must also be determined. Straightforward …

Processing surfaces with data coming from an automatic acquisition technique always
generates the problem of unorganized 3D point sets or presence of geometric deficiencies …

This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

Scale-space behavior of corners is important for developing an efficient corner detection
algorithm. In this paper, we analyze the scale-space behavior with the Laplacian of …