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Traditional pose similarity functions based on joint coordinates or rotations often do not conform to human perception. We propose a new perceptual pose distance: Relational Geometric Distance that accumulates the differences over a set of features that reflects the geometric relations between different body parts. An extensive relational geometric feature pool that contains a large number of p...

Accurate knowledge of the airway geometry is needed when constructing physical models of the airway tree and for numerical modeling of flow or sound propagation in the airways. Human and animal experiments are conducted to validate these models. Many studies documented the geometric details of the human airways. However, information about the geometry of pig airways is scarcer. Earlier studies ...

This paper proposes a method of geometric modeling of features extracted from 3D face and presents some of its applications. It describes a new automatic pose and expression invariant feature extraction algorithms to extract features (control points) from eyebrows, nose and lips of 3D facial data. The proposed algorithms are tested on BU-3DFE (Binghamton University 3D Facial Expression) Databas...

This paper introduces a prototype system, SketchingMetal, that enables individuals with no manufacturing expertise to quickly design a restricted domain of precise, manufacturable, three-dimensional geometric models. Unlike previous systems that generate plastic prototypes from more general geometric models, models created with SketchingMetal can be manufactured automatically as functional mach...

Geometric inference is widely used in computer vision, but very little attention has been given to the question of how geometric properties affect the resulting errors in the inferences made. This thesis addresses the problem of the stability of geometric inference in determining locations with a goal of being able to predict type and magnitude of the errors which occur and to determine on what...

As pen-based interfaces become more popular in today’s applications, the need for algorithms to accurately recognize hand-drawn sketches and shapes has increased. In many cases, complex shapes can be constructed hierarchically as a combination of smaller primitive shapes meeting certain geometric constraints. However, in order to construct higher level shapes, it is imperative to accurately rec...

Recent skeleton-based action recognition approaches achieve great improvement by using RNN models. Currently these approaches build an end-to-end network from coordinates of joints to class categories and improve accuracy by extending RNN to spatial domains. First, while such well-designed models and optimization strategies explore relations between different parts directly from joint coordinat...

This is the second part of an investigation into the visual clues in illuminated scenes, in terms of the interactions between apparent contours, shade and cast shadow curves, boundary edges and markings, on smooth surfaces, pairs of surfaces meeting in a crease, and triples of surfaces meeting in a corner. We consider both ‘stable’ and ‘codimension 1’ cases, the latter meaning that we list even...