A high-frame-rate dense motion vector field generation processor with simplified best-match searching circuitries

2009 ◽  
Author(s):  
Yuta Okano ◽  
Tadashi Shibata
Keyword(s):  
Vector Field ◽  
Motion Vector ◽  
Frame Rate ◽  
High Frame Rate ◽  
Field Generation ◽  
Motion Vector Field

scholarly journals Frame interpolation with pixel-level motion vector field and mesh based hole filling

2016 ◽  
Vol 1 (1) ◽  
pp. 72-78 ◽  
Author(s):  
Chuanxin Tang ◽  
Ronggang Wang ◽  
Zhu Li ◽  
Wenmin Wang ◽  
Wen Gao
Keyword(s):  
Vector Field ◽  
Motion Vector ◽  
Hole Filling ◽  
Frame Interpolation ◽  
Motion Vector Field

scholarly journals Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint

2014 ◽  
Vol II-1 ◽  
pp. 9-16 ◽  
Author(s):  
S. Hosseinyalamdary ◽  
A. Yilmaz
Keyword(s):  
Vector Field ◽  
Optical Flow ◽  
Motion Vector ◽  
Epipolar Geometry ◽  
Estimation Methods ◽  
Brightness Constancy ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Motion Vector Field ◽  
Field Estimation

In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation. This paper uses the IMU measurements to reconstruct the epipolar geometry and it integrates the epipolar geometry constraint with the brightness constancy assumption in the Lucas-Kanade method. The proposed method has been tested using the KITTI dataset. The results show the improvement in motion vector field estimation in comparison to the Lucas-Kanade optical flow estimation. The same approach has been used in the KLT tracker and it has been shown that using epipolar geometry constraint can improve the KLT tracker. It is recommended that the epipolar geometry constraint is used in advanced variational optical flow estimation methods.

scholarly journals A Spatial Prediction-Based Motion-Compensated Frame Rate Up-Conversion

2019 ◽  
Vol 11 (2) ◽  
pp. 26 ◽  
Author(s):  
Yanli Li ◽  
Wendan Ma ◽  
Yue Han
Keyword(s):  
Motion Vector ◽  
Spatial Prediction ◽  
Frame Rate ◽  
Prediction Algorithm ◽  
Predictive Algorithm ◽  
Motion Vector Field ◽  
Frame Rate Up Conversion ◽  
Multimedia Internet Of Things ◽  
Basic Blocks

In Multimedia Internet of Things (IoT), in order to reduce the bandwidth consumption of wireless channels, Motion-Compensated Frame Rate Up-Conversion (MC-FRUC) is often used to support the low-bitrate video communication. In this paper, we propose a spatial predictive algorithm which is used to improve the performance of MC-FRUC. The core of the proposed algorithm is a predictive model to split a frame into two kinds of blocks: basic blocks and absent blocks. Then an improved bilateral motion estimation is proposed to compute the Motion Vectors (MVs) of basic blocks. Finally, with the spatial correlation of Motion Vector Field (MVF), the MV of an absent block is predicted based on the MVs of its neighboring basic blocks. Experimental results show that the proposed spatial prediction algorithm can improve both the objective and the subjective quality of the interpolated frame, with a low computational complexity.

On avoiding singularities in redundant robot kinematics

Robotica ◽  
1995 ◽  
Vol 13 (6) ◽  
pp. 599-606 ◽  
Author(s):  
Krzysztof Tchoń ◽  
Aleksander Matuszok
Keyword(s):  
Vector Field ◽  
Equilibrium Points ◽  
Motion Vector ◽  
Sufficient Conditions ◽  
The Self ◽  
Robot Kinematics ◽  
Redundant Robot ◽  
Singular Configurations ◽  
Motion Vector Field ◽  
Self Motion

SummaryFor redundant robot kinematics with a degree of redundancy 1 a self-motion vector field is examined whose equilibrium points lie at singular configurations of the kinematics, and whose orbits determine the self-motion manifolds. It is proved that the self-motion vector field is divergence-free. Locally, around singular configurations of corank 1, the self-motion vector field defines a 2-dimensional Hamiltonian dynamical system. An analysis of the phase portrait of this system in a neighbourhood of a singular configuration solves completely the question of avoidability or unavoidability of this configuration. Complementarily, sufficient conditions for avoidability and unavoidability are proposed in an analytic form involving the self-motion Hamilton function. The approach is illustrated with examples. A connection with normal forms of kinematics is established.

Sign in / Sign up

Export Citation Format

Share Document