Johann Prankl,Michael Zillich,Markus Vincze
Johann Prankl
Detecting elements such as planes in 3D is essential to describe objects for applications such as robotics and augmented reality. While plane estimation is well studied, table-top scenes exhibit a large number of planes and methods often lo...
Chen-Rui Chou,Brandon Frederick,Gig Mageras et al.
Chen-Rui Chou et al.
In computer vision and image analysis, image registration between 2D projections and a 3D image that achieves high accuracy and near real-time computation is challenging. In this paper, we propose a novel method that can rapidly detect an o...
Particle Filters and Occlusion Handling for Rigid 2D-3D Pose Tracking [0.03%]
基于粒子滤波和遮挡处理的刚体二维-三维姿态跟踪方法
Jehoon Lee,Romeil Sandhu,Allen Tannenbaum
Jehoon Lee
In this paper, we address the problem of 2D-3D pose estimation. Specifically, we propose an approach to jointly track a rigid object in a 2D image sequence and to estimate its pose (position and orientation) in 3D space. We revisit a joint ...
X Chen,H He,G Zou et al.
X Chen et al.
This paper presents an improved Euclidean Ricci flow method for spherical parameterization. We subsequently invent a scale space processing built upon Ricci energy to extract robust surface features for accurate surface registration. Since ...
Simultaneous Segmentation of Prostatic Zones Using Active Appearance Models With Multiple Coupled Levelsets [0.03%]
基于多耦合轮廓线的主动外观模型的前列腺分区同步分割方法
Robert Toth,Justin Ribault,John Gentile et al.
Robert Toth et al.
In this work we present an improvement to the popular Active Appearance Model (AAM) algorithm, that we call the Multiple-Levelset AAM (MLA). The MLA can simultaneously segment multiple objects, and makes use of multiple levelsets, rather th...
Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histology [0.03%]
用于流形规则化的统计形状模型：前列腺组织学 Gleason 分级
Rachel Sparks,Anant Madabhushi
Rachel Sparks
Gleason patterns of prostate cancer histopathology, characterized primarily by morphological and architectural attributes of histological structures (glands and nuclei), have been found to be highly correlated with disease aggressiveness an...
GC-ASM: Synergistic Integration of Graph-Cut and Active Shape Model Strategies for Medical Image Segmentation [0.03%]
基于图割和主动形状模型的医学图像分割联合方法研究
Xinjian Chen,Jayaram K Udupa,Abass Alavi et al.
Xinjian Chen et al.
Image segmentation methods may be classified into two categories: purely image based and model based. Each of these two classes has its own advantages and disadvantages. In this paper, we propose a novel synergistic combination of the image...
Text Extraction from Scene Images by Character Appearance and Structure Modeling [0.03%]
基于字符外观和结构的场景图像文本提取模型
Chucai Yi,Yingli Tian
Chucai Yi
In this paper, we propose a novel algorithm to detect text information from natural scene images. Scene text classification and detection are still open research topics. Our proposed algorithm is able to model both character appearance and ...
John A Bogovic,Jerry L Prince,Pierre-Louis Bazin
John A Bogovic
Deformable models are widely used for image segmentation, most commonly to find single objects within an image. Although several methods have been proposed to segment multiple objects using deformable models, substantial limitations in thei...
Optimal-Flow Minimum-Cost Correspondence Assignment in Particle Flow Tracking [0.03%]
粒子流跟踪中最小成本对应关系分配的最优流动方法
Alexandre Matov,Marcus M Edvall,Ge Yang et al.
Alexandre Matov et al.
A diversity of tracking problems exists in which cohorts of densely packed particles move in an organized fashion, however the stability of individual particles within the cohort is low. Moreover, the flows of cohorts can regionally overlap...