Fast pose estimation for texture-less objects based on B-Rep model
نویسندگان
چکیده
منابع مشابه
Model-Based Pose Estimation for Rigid Objects
Determining the pose of objects appearing in images is a problem encountered often in several practical applications. The most effective strategy for dealing with this challenge is to proceed according to the model-based paradigm, which involves building 3D models of objects and then determining object poses by fitting their models to new images with the aid of detected features. This paper pro...
متن کاملTechnical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
We propose a framework for automatic modeling, detection, and tracking of 3D objects with a Kinect. The detection part is mainly based on the recent template-based LINEMOD approach [1] for object detection. We show how to build the templates automatically from 3D models, and how to estimate the 6 degrees-of-freedom pose accurately and in real-time. The pose estimation and the color information ...
متن کاملMarker-less Pose Estimation
The ability to capture human motion precisely has benefits in various applications ranging from biomechanics studies, to physical therapy and exoskeleton control. The current most utilized methods for determining body kinematics and motion rely on either 1) optical systems which require retrofitting a room with an array of expensive cameras and tagging the subject with retro-flective markers at...
متن کاملModel-Based Pose Estimation
Model-based pose estimation algorithms aim at recovering human motion from one or more camera views and a 3D model representation of the human body. The model pose is usually parameterized with a kinematic chain and thereby the pose is represented by a vector of joint angles. The majority of algorithms are based on minimizing an error function that measures how well the 3D model fits the image....
متن کاملFast Feature-Less Quaternion-based Particle Swarm Optimization for Object Pose Estimation From RGB-D Images
We present a novel quaternion-based formulation of Particle Swarm Optimization for pose estimation which, differently from other approaches, does not rely on image features or machine learning. The quaternion formulation avoids the gimbal lock problem, and the objective function is based on raw 2D depth information only, under the assumption that the object region is segmented from the backgrou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2018
ISSN: 1687-5281
DOI: 10.1186/s13640-018-0359-6