A Framework for Deformation Estimation of Elastic Bodies from Monocular Images
نویسنده
چکیده
This paper introduces a method to estimate deformation of elastic bodies using monocular camera images. As this issue is originally an ill-posed problem, sparse constraints are used in the objective function. Using a motion capture system, estimation performance is evaluated by the ground truth deformation of a rubber object. The results show that 12 patterns of elastic deformation by a pull of 10.0mm in average can be estimated with 4.0 mm root mean square error.
منابع مشابه
A simulation study on deformation estimation of elastic materials using monocular images
Understanding the three-dimensional (3D) geometry of vascular structures and tumors is an essential factor for surgical safety, and preoperative planning and intraoperative image guidance using computed tomography (CT)/magnetic resonance imaging (MRI) images play important roles. Because internal vessels and tumors can change during treatment, online estimation of organ deformation is a technic...
متن کاملCamera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...
متن کاملNoise Suppression and Motion Estimation in Medical Ultrasound Imaging
Noise Suppression and Motion Estimation in Medical Ultrasound Imaging by Yong Yue Echocardiographic imaging is a primary modality in the diagnosis of heart disease. Compared to other imaging techniques, such as X-Ray, MRI, and PET, ultrasound imaging owes its great popularity to the fact that it is a safe and non-invasive procedure for visualizing the heart and vasculature. The ultrasound image...
متن کاملEstimating Human Dynamics On-the-fly Using Monocular Video For Pose Estimation
Human pose estimation using uncalibrated monocular visual inputs alone is a challenging problem for both the computer vision and robotics communities. From the robotics perspective, the challenge here is one of pose estimation of a multiply-articulated system of bodies using a single nonspecialized environmental sensor (the camera) and thereby, creating low-order surrogate computational models ...
متن کاملDesign and Modeling of a New Type of Tactile Sensor Based on the Deformation of an Elastic Membrane
This paper presents the design and modeling of a flexible tactile sensor, capable of detecting the 2D surface texture image, contact-force estimation and stiffness of the sensed object. The sensor is made of polymer materials. It consists of a cylindrical chamber for pneumatic actuation and a membrane with a mesa structure. The inner radius of the cylindrical chamber is 2cm and its outer radius...
متن کامل