Real-Time, Curvature-Sensitive Surface Simplification Using Depth Images

Surface simplification using a discrete curvature norm

This paper proposes a mesh simplification algorithm using a discrete curvature norm. Most of the simplification algorithms are using a distance metric to date. The distance metric is very efficient to measure geometric error, but it is difficult to distinguish important shape features such as a high-curvature region even though it has a small distance metric. We suggest a discrete curvature nor...

Real-time Planar Segmentation of Depth Images

Handling depth images as a point cloud in a 3D data framework and performing planar segmentation in real-time requires heavy computation and it is a major challenge. Available planar-segmentation algorithms are mostly based on surface normals and/or curvatures, and consequently, do not provide real-time performance. In this abstract paper, we introduce a real-time planar-segmentation method for...

Real-Time Processing of Pressure- Sensitive Paint Images

Curvature-Limiting Morphological Simplification

Given a planar set S of arbitrary topology and a radius r , we show how to construct an r -tightening of S , which is a set whose boundary has a radius of curvature everywhere greater than or equal to r and which only differs from S in a morphologically-defined tolerance zone we call the mortar. The mortar consists of the thin or highly curved parts of S , such as corners, gaps, and small conne...

Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier

In this paper, we present human pose estimation and gesture recognition algorithms that use only depth information. The proposed methods are designed to be operated with only a CPU (central processing unit), so that the algorithm can be operated on a low-cost platform, such as an embedded board. The human pose estimation method is based on an SVM (support vector machine) and superpixels without...