[PDF] Top 20 Fourier descriptors for broken shapes

... A two-dimensional contour can also be represented in one dimension by mapping it to a one-dimensional signature function: (x(t), y(t)) → f (t). The signature function f can already be invariant under translation, scaling ... See full document

... irregular shapes. Therefore, shape features such as 1D Fourier Descriptors (FDs) and Geometric Features are introduced and evaluated to distinguish the DCs in the classification ... See full document

... the Fourier descriptors of its coupler curve calcu- lated and supplied as input to the trained ...between Fourier descriptors of input and output ...curve shapes in each ... See full document

... by descriptors which include compactness, elongation, convexity, roughness, ...These descriptors are based on combinations of size measure- ...biological shapes, they cannot be characterized by only ... See full document

... describing shapes using a continuous ...of Fourier descriptors, which vote in an accumulator space from which the object parameters of translation (including the x and y direction), rotation and ... See full document

... This paper advocate the use of affine invariants to describe 3D objects. Those 3D descriptors are based on determinants and Fourier series. The principal advantages of our description is that similarity is ... See full document

... approach, Fourier descriptors (FD) of shapes are formed by applying the Fourier transform on the boundary signatures ...that Fourier descriptors transformed from the centroid ... See full document

... elliptic Fourier Descriptors, as the defined parameters are related to the appearance transfor- mations which define all the shapes that can be derived form the original ... See full document

... [15], Fourier descriptor [16] [17] [18], contour flexibility [19], and so forth [20] ...contour descriptors which are not the same as descriptors inside of the shape ...shape descriptors to ... See full document

... arbitrary shapes has centered on nonanalytic representations based on a table which specifies the position of edge points relative to a fixed reference ...of shapes with the generality of the ... See full document

... As mentioned in Section 1.1, the Activity Area is not always sufficient for recognizing activities, as some actions can lead to Activity Areas with very similar shapes. For example, different translational motions ... See full document

... by Fourier descriptors that were used together with a neural network for image ...the Fourier method of descriptors, which is proved to be effective and easy to ... See full document

... It is known that fusing complementary information would lead to a better performance of the system. To this aim, we propose for future work the fusion of some of the feature descriptors explained in this work or ... See full document

... Silhouette-based gait recognition methods do not assume an explicit model of the human body, but analyse the spatio-temporal shape and motion characteristics of silhouettes. Spatio-temporal motion-based methods (e.g., ... See full document

... A BSTRACT: Automatic aircraft recognition in a complex environment has long been an interesting and challenging task. Conventional aircraft recognition methods always extract the overall shape features of aircraft for ... See full document

... of 4 people's face Fourier descriptors Figure 5.4 Euclidean distance 7 face Fourier descriptors 41 vectors 42 vectors of 7 face profiles of the same person comparisons of the Fourier des[r] ... See full document

... Fourier Descriptors (FD) is a contour-based approach where all points are connected to describe the shape ...certain Fourier descriptors are shearing invariant ...the Fourier ... See full document

... By retaining the first six principal components that account for the most variance in the data and the six most important variables found by variable importance using the Random Forest[r] ... See full document

... distance Fourier descriptors as hand shape descriptor in sign language recognition from visually captured hand gesture is ...signature. Fourier transformation of the centroid distance signature ... See full document

... local Fourier coefficients (LFC) and fa- cial Fourier descriptors (FFD) , where each facial region represents an indepen- dent subspace based on PCA (principal component ... See full document