In the framework of a European technological research project 2], a general method is presented for shape measurement and defect detection of industrially produced objects using the characteristic 2D projections of the objects. The method is applied to the visual inspection and dimensional measurement of ferrite cores. An optical shape gauge system is described, based on rotation-invariant shap...

Figure 1: We present a view-based convolutional network that produces local, point-based shape descriptors. The network is trained such that geometrically and semantically similar points across different 3D shapes are embedded close to each other in descriptor space (left). Our produced descriptors are quite generic — they can be used in a variety of shape analysis applications, including dense...

Skeletons are often used as a framework for part-based shape analysis. This paper describes some useful strategies that can be employed to improve the performance of such shape matching algorithms. Four key strategies are proposed. The first is to incorporate ligature-sensitive information into the part decomposition and shape matching processes. The second is to treat part decomposition as a d...

Representing shapes is a signiicant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-similarities, and constructing its shape axis(SA) and shape axis tree (SA-tree). We start with a shape, its boundary contour, and two diierent parameterizations for the contour. To measure its self-similarity we consider m...

This paper introduces a novel efficient partial shape matching method named IS-Match. We use sampled points from the silhouette as a shape representation. The sampled points can be ordered which in turn allows to formulate the matching step as an order-preserving assignment problem. We propose an angle descriptor between shape chords combining the advantages of global and local shape descriptio...

This paper presents an effective method of statistical shape representation for automatic face analysis and identification in 3-D. The method combines statistical shape modelling techniques and the non-rigid deformation matching scheme. This work is distinguished by three key contributions. The first is the introduction of a new 3-D shape registration method using hierarchical landmark detectio...

This paper introduces a novel efficient partial shape matching method named IS-Match. We use sampled points from the silhouette as a shape representation. The sampled points can be ordered which in turn allows to formulate the matching step as an order-preserving assignment problem. We propose an angle descriptor between shape chords combining the advantages of global and local shape descriptio...

This thesis presents work on shape matching and object recognition. First, we describe Eigen-CSS, a faster and more accurate approach to representing and matching the curvature scale space (CSS) features of shape silhouette contours. Phase-correlated marginal-sum features and PCA eigenspace decomposition via SVD differentiate our technique from earlier work. Next, we describe a deformable templ...

We describe a technique for matching a single, learned elastic model of the shape of normal chromosomes to chromosomal images. Our model has a hierarchical organisation, with increasingly coarse shape descriptions at higher levels. A problem of finding the model description most likely to have generated an image is reduced to one of matching the locations of model points to the locations of ima...

Representing shapes is a signi cant problem for vi sion systems that must recognize or classify objects We derive a representation for a given shape by inves tigating its self similarities and constructing its shape axis SA and shape axis tree SA tree We start with a shape its boundary contour and two di erent parameterizations for the contour To measure its self similarity we consider matching...