Wenpeng Ding

ORCID: 0000-0003-2553-735X
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About
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Research Areas
  • Prosthetics and Rehabilitation Robotics
  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Computer Graphics and Visualization Techniques
  • Digital Image Processing Techniques
  • Modular Robots and Swarm Intelligence
  • Sparse and Compressive Sensing Techniques
  • 3D Shape Modeling and Analysis
  • Robotic Path Planning Algorithms
  • Soft Robotics and Applications
  • Distributed Sensor Networks and Detection Algorithms
  • Image Processing Techniques and Applications
  • Advanced Data Compression Techniques
  • Medical Image Segmentation Techniques

Beijing Institute of Technology
2018-2019

Beijing University of Technology
2012-2015

University of Science and Technology of China
2006

Image super-resolution with sparsity prior provides promising performance. However, traditional sparse-based super resolution methods transform a two dimensional (2D) image into one (1D) vector, which ignores the intrinsic 2D structure as well spatial correlation inherent in images. In this paper, we propose first method reconstructs high from its low counterpart via sparse model. Correspondingly, present new dictionary learning algorithm to fully make use of corresponding relationship pairs...

10.1109/icme.2015.7177485 article EN 2022 IEEE International Conference on Multimedia and Expo (ICME) 2015-06-01

In order to show the realistic 3D mesh in geometry image-based compression, addition coding image, normal-map image is usually required code. But are difficult compress because it captures more details of original mesh, and has less spatial correlation between pixels than image. This paper proposes a novel framework solve this problem, we effectively predict based on also utilize strong among three components improve predicting accuracy. only need code residual which generated from its...

10.1109/pcs.2012.6213304 article EN Picture Coding Symposium 2012-05-01

In this paper, we propose a novel rate allocation method for compound image coding using Quality-biased Rate-Distortion Optimization (QRDO) technique to enhance visual quality. The is divided into 16 times blocks, which are further classified four types: smooth, text/graphics, continuous tone and hybrid blocks. Four carefully designed approaches according different statistical features introduced compress them, rate-distortion tradeoff with QRDO considered decide approach should be used each...

10.1109/iscas.2006.1693741 article EN 1993 IEEE International Symposium on Circuits and Systems 2006-09-22

Most of the existing stability control methods for humanoids aim at avoiding falling down, and it is difficult to cope with sudden fall robots. However, an unstable system which cannot avoid down. In this paper, we design a planning method protection according human motion. This determines contact position between robot ground by adjusting motion when falls. order further reduce damage robot, appropriate cushioning material installed point collision selected absorb impact. The effectiveness...

10.1109/humanoids.2018.8625074 article EN 2018-11-01

Most existing motion control methods for humanoids aim at avoiding falling. However, the humanoid is generally an unstable system that cannot completely avoid falling and it difficult to cope with sudden fall of a robot. This paper designs planning method protection according human motion. changes impact position between robot ground by adjusting as falls. To further reduce damage robot, appropriate cushioning material installed point buffer The effectiveness proposed verified BHR6P in...

10.1142/s0219843620500024 article EN International Journal of Humanoid Robotics 2019-12-09

Vision sensors usually do not account for the physical process of imaging and they acquire image/video samples at Nyquist rate. The rate is significantly higher than effective dimensions an image/video, consequently compression essential prior to storage or transmission. emerging Compressive Sensing (CS) theory states that a signal can be perfectly reconstructed, robustly approximated in presence noise, using few random measurements, provided it sparse some linear transform domain. CS...

10.1360/112011-1423 article EN Scientia Sinica Informationis 2013-02-01

The development of a dexterous robotic hand is one the most important research areas in robotics. In order to grasp variety objects, robot needs more degrees freedom, so it requires many motors and complicated structures, which leads an increase weight size hand. This article presents novel super underactuated that uses just motor has three cooperative fingers with two phalanxes per finger. have same structure, work mechanism driven by single motor, total 6 freedom. grasping principle,...

10.1109/icma.2018.8484724 article EN 2022 IEEE International Conference on Mechatronics and Automation (ICMA) 2018-08-01
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