Fast Human Pose Retrieval Using Approximate Chamfer Distance

Example-Based Methods for Estimating 3D Human Pose from Silhouette Image using Approximate Chamfer Distance and Kernel Subspace

Boosting Chamfer Matching by Learning Chamfer Distance Normalization

We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, which only measures how well a template fits to an edge map, we evaluate the score of the template in comparison to auxiliary contours, which we call normalizers. We utilize AdaBoost to learn a Normalized Oriented Chamfer...

D ^2 CO: Fast and Robust Registration of 3D Textureless Objects Using the Directional Chamfer Distance

This paper introduces a robust and efficient vision based method for object detection and 3D pose estimation that exploits a novel edge-based registration algorithm we called Direct Directional Chamfer Optimization (DCO). Our approach is able to handle textureless and partially occluded objects and does not require any off-line object learning step. Depth edges and visible patterns extracted fr...

Optimum Design of Chamfer Distance

The distance transform has found many applications in image analysis. The Euclidean distance transform is computationally very intensive, and eecient discrete algorithms based on chamfer metrics are used to obtain its approximations. The chamfer metrics are selected to minimize an approximation error. In this paper, a new approach is developed to nd optimal chamfer local distances. This new app...

Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony

We introduce a new parallel algorithm for approximate breadthfirst ordering of an unweighted graph by using bounded asynchrony to parametrically control both the performance and error of the algorithm. This work is based on the k-level asynchronous (KLA) paradigm that trades expensive global synchronizations in the level-synchronous model for local synchronizations in the asynchronous model, wh...