We propose Bidirectional Shape Correspondence (BSC) as a possible improvement on the famous shape contexts (SC) framework. Our proposals derive from the observation that the original SC framework enforces a one-to-one correspondence between sample points, and that this leads to two possible drawbacks. First, this denies the framework of the opportunity to effect a many-to-many matching between ...

astigmatism’s defect has not yet been formulated in physics and medical physics books theoretically. in this paper, we are trying to formulate the astigmatism’s defect. the results of formulation show that “the degree of astigmatism is negative reverse the distance that vision’s condition of astigmatism’s chart lines change conditions in dimness angle from dimness condition at infinite distance...

Martin Andreas Styner: Medial Shape Description of Variable Biological Objects. (Under the direction of Guido Gerig.) This dissertation describes a novel shape description scheme that incorporates variability of an object population into the generation of a characteristic 3D shape model. Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis...

This study examined the influence of object labels and shape similarity on 16- to 21-month-old infants' inductive inferences. In three experiments, a total of 144 infants were presented with novel target objects with or without a nonobvious property, followed by test objects that varied in shape similarity to the target. When objects were not labeled, infants generalized the nonobvious property...

The Argentine ant, Linepithema humile, adjusts its exploratory behaviour according to group size. Colonies of three different sizes were allowed to explore novel, empty arenas of three different sizes. Ants were tracked on videotape using a computerized image analysis system. At high densities, the shape of searchers’ paths becomes more convoluted; at low densities, paths are more linear. Previ...

We propose a novel Bayesian framework of symmetry-driven shape similarity to incorporate structural shape descriptor into conventional geometrical shape descriptor. We use rotation and reflection symmetries for structural shape description. Symmetry detection on each shape image provides a qualitative and a quantitative categorization of the types and the degrees of symmetry level. The posterio...

− For monitoring the shape of fast rotating objects such as turbo machine rotors, contactless and compact sensors with a high measurement rate as well as high precision are required. We present a novel laser Doppler distance sensor for shape measurements of rough technical surfaces. This novel sensor offers concurrently high distance resolution in the micron range and high temporal resolution i...

We propose a novel statistical descriptor, Multiple References Histogram Matrix (MRHM), for robust shape retrieval, especially for degraded shape images. For each shape image, MRHM first generates uniform grids and filters noises in each grid by line Hough transformations and curve-fitting transformations. Then MRHM selects a reference for each grid and calculates its local distribution between...

In this research, we present a novel dynamic background modeling method based on reconstructed 3D shapes, which can solve background modeling problems of multi-camera in real-time. While 3D shape reconstruction is a popular technology widely used for detecting, tracking or identifying various objects, little effort has been made in applying this useful method to background subtraction. In this ...