Vid2Param: Modeling of Dynamics Parameters From Video
نویسندگان
چکیده
منابع مشابه
Simulation Guided Hair Dynamics Modeling from Video
In this paper we present a hybrid approach to reconstruct hair dynamics from multi-view video sequences, captured under uncontrolled lighting conditions. The key of this method is a refinement approach that combines image-based reconstruction techniques with physically based hair simulation. Given an initially reconstructed sequence of hair fiber models, we develop a hair dynamics refinement sy...
متن کاملDynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz) time scales. The method is based on modeling the EEG time series by linear autoregressive (AR) models with time dependent parameters. Systems described by such linear models can be interpreted as a set of coupled stochas...
متن کاملModeling Video Dynamics with Deep Dynencoder
Videos always exhibit various pattern motions, which can be modeled according to dynamics between adjacent frames. Previous methods based on linear dynamic system can model dynamic textures but have limited capacity of representing sophisticated nonlinear dynamics. Inspired by the nonlinear expression power of deep autoencoders, we propose a novel model named dynencoder which has an autoencoder...
متن کاملFast 3D modeling from video
In this paper we build 3D models of rigid bodies from video sequences. The algorithm we use is simple and robust. It recovers the 3D shape parameters and the 3D motion parameters by first estimating the parameters of the induced optical flow representation. To estimate the 3D shape and 3D motion from the optical flow, we use a fast algorithm that is based on the factorization of a matrix that i...
متن کاملRobust multiplicative video watermarking using statistical modeling
The present paper is intended to present a robust multiplicative video watermarking scheme. In this regard, the video signal is segmented into 3-D blocks like cubes, and then, the 3-D wavelet transform is applied to each block. The low frequency components of the wavelet coefficients are then used for data embedding to make the process robust against both malicious and unintentional attacks. Th...
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: IEEE Robotics and Automation Letters
سال: 2020
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2019.2959476