Search results for: Yong-Jin Liu

Items from 1 to 20 out of 77 results

article

NP-completeness of optimal planning problem for modular robots

Zipeng Ye, Minjing Yu, Yong-Jin Liu

Autonomous Robots > 2019 > 43 > 8 > 2261-2270

Self-reconfigurable modular robots (SRM-robots) can autonomously change their shape according to different tasks and work environments, and have received considerable attention recently. Many reshaping/reconfiguration algorithms have been proposed. In this paper, we present a theoretical analysis of computational complexity on a reshape planning for a kind of lattice-type 3D SRM-robots, whose modules...

article

Micro-expression recognition with small sample size by transferring long-term convolutional neural network

Su-Jing Wang, Bing-Jun Li, Yong-Jin Liu, Wen-Jing Yan, more

Neurocomputing > 2018 > 312 > C > 251-262

Micro-expression is one of important clues for detecting lies. Its most outstanding characteristics include short duration and low intensity of movement. Therefore, video clips of high spatial-temporal resolution are much more desired than still images to provide sufficient details. On the other hand, owing to the difficulties to collect and encode micro-expression data, it is small sample size. In...

article

Space complexity of exact discrete geodesic algorithms on regular triangulations

Yong-Jin Liu, Dian Fan, Chunxu Xu, Ying He

Information Processing Letters > 2017 > 124 > C > 10-14

Computing geodesic distances on 2-manifold meshes is a fundamental problem in computational geometry. To date, two notable classes of exact algorithms, namely, the Mitchell–Mount–Papadimitriou (MMP) algorithm and the Chen–Han (CH) algorithm, have been widely studied. For an arbitrary triangle mesh with n vertices, these algorithms have space complexity of O(n2). In this paper, we prove that both algorithms...

chapter

Learning to Rank Retargeted Images

Yang Chen, Yong-Jin Liu, Yu-Kun Lai

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 4743 - 4751

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image retargeting techniques that adjust images into different sizes have attracted much attention recently. Objective quality assessment (OQA) of image retargeting results is often desired to automatically select the best results. Existing OQA methods output an absolute score for each retargeted image and use these scores to compare different results. Observing that it is challenging even for human...

article

Cross section-based hollowing and structural enhancement

Weiming Wang, Baojun Li, Sicheng Qian, Yong-Jin Liu, more

The Visual Computer > 2017 > 33 > 6-8 > 949-960

Recently, 3D printing has become a powerful tool for personal fabrication. However, the price of some materials is still high which limits its applications in home users. To optimize the volume of the model, while not largely affecting the strength of the objects, researchers propose algorithms to divide the model with different kinds of lightweight structures, such as frame structure, honeycomb cell...

chapter

RoboFDM: A robotic system for support-free fabrication using FDM

Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, more

2017 IEEE International Conference on Robotics and Automation (ICRA) > 1175 - 1180

2017 IEEE International Conference on Robotics and Automation (ICRA)

This paper presents a robotic system — RoboFDM that targets at printing 3D models without support-structures, which is considered as the major restriction to the flexibility of 3D printing. The hardware of RoboFDM consists of a robotic arm providing 6-DOF motion to the platform of material accumulation and an extruder forming molten filaments of polylactic acid (PLA). The fabrication of 3D models...

article

Objective Quality Prediction of Image Retargeting Algorithms

Yun Liang, Yong-Jin Liu, Diego Gutierrez

IEEE Transactions on Visualization and Computer Graphics > 2017 > 23 > 2 > 1099 - 1110

Quality assessment of image retargeting results is useful when comparing different methods. However, performing the necessary user studies is a long, cumbersome process. In this paper, we propose a simple yet efficient objective quality assessment method based on five key factors: i) preservation of salient regions; ii) analysis of the influence of artifacts; iii) preservation of the global structure...

article

A Robust Divide and Conquer Algorithm for Progressive Medial Axes of Planar Shapes

Yong-Jin Liu, Cheng-Chi Yu, Min-Jing Yu, Kai Tang, more

IEEE Transactions on Visualization and Computer Graphics > 2016 > 22 > 12 > 2522 - 2536

The medial axis is an important shape representation that finds a wide range of applications in shape analysis. For large-scale shapes of high resolution, a progressive medial axis representation that starts with the lowest resolution and gradually adds more details is desired. In this paper, we propose a fast and robust geometric algorithm that computes progressive medial axes of a large-scale planar...

article

Visualizing and Analyzing Video Content With Interactive Scalable Maps

Cui-Xia Ma, Yong-Jin Liu, Guozhen Zhao, Hong-An Wang

IEEE Transactions on Multimedia > 2016 > 18 > 11 > 2171 - 2183

Visualizing and communicating insights through maps offers an intuitive and familiar way to explore large-scale dynamic relational data. In this paper, we present VideoMap, which is a novel approach for presenting and interacting with relational video content by taking advantage of the map metaphor. VideoMap employs a metaphor to visualize video content by elements of a map with the aim of enabling...

chapter

Delta DLP 3D printing with large size

Chenming Wu, Ran Yi, Yong-Jin Liu, Ying He, more

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) > 2155 - 2160

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

We present a delta DLP 3D printer with large size in this paper. Compared with traditional DLP 3D printers that use a low-cost off-the-shelf consumer projector and a single vertical carriage, the platform of our delta DLP 3D printer can also move horizontally in the plane. We show that this structure allows the printer to have a larger printing area than the projection area of a projector. Our system...

article

A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

Yong-Jin Liu, Jin-Kai Zhang, Wen-Jing Yan, Su-Jing Wang, more

IEEE Transactions on Affective Computing > 2016 > 7 > 4 > 299 - 310

Micro-expressions are brief facial movements characterized by short duration, involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a great challenge. In this paper, we propose a simple yet effective Main Directional Mean Optical-flow (MDMO) feature for micro-expression recognition. We apply a robust optical flow method on micro-expression video clips and partition...

article

Fast algorithm for singly linearly constrained quadratic programs with box-like constraints

Meijiao Liu, Yong-Jin Liu

Computational Optimization and Applications > 2017 > 66 > 2 > 309-326

This paper focuses on a singly linearly constrained class of convex quadratic programs with box-like constraints. We propose a new fast algorithm based on parametric approach and secant approximation method to solve this class of quadratic problems. We design efficient implementations for our proposed algorithm and compare its performance with two state-of-the-art standard solvers called Gurobi and...

article

An Interactive SpiralTape Video Summarization

Yong-Jin Liu, Cuixia Ma, Guozhen Zhao, Xiaolan Fu, more

IEEE Transactions on Multimedia > 2016 > 18 > 7 > 1269 - 1282

A majority of video summarization systems use linear representations, such as rectangular storyboards and timelines at linear scales. In this paper, we propose a novel nonlinear dynamic representation called SpiralTape that summarizes a video in a smooth spiral pattern. SpiralTape provides an unusual and fresh activity suitable for stimulating environments such as science and technology museums, in...

article

The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

Qiufang Fu, Yong-Jin Liu, Zoltan Dienes, Jianhui Wu, more

Consciousness and Cognition > 2016 > 43 > C > 152-166

A fundamental question in vision research is whether visual recognition is determined by edge-based information (e.g., edge, line, and conjunction) or surface-based information (e.g., color, brightness, and texture). To investigate this question, we manipulated the stimulus onset asynchrony (SOA) between the scene and the mask in a backward masking task of natural scene categorization. The behavioral...

article

Neural activity associated with attention orienting triggered by implied action cues

Kaiyun Li, Yong-Jin Liu, Fangbing Qu, Xiaolan Fu

Brain Research > 2016 > 1642 > C > 353-363

Spatial attention can be directed by the actions of others. We used ERPs method to investigate the neural underpins associated with attention orienting which is induced by implied body action. Participants performed a standard non-predictive cuing task, in which a directional implied action (throwing and running) or non-action (standing) cue was randomly presented and then followed by a target to...

chapter

Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels

Yong-Jin Liu, Cheng-Chi Yu, Min-Jing Yu, Ying He

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 651 - 659

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Superpixels are perceptually meaningful atomic regions that can effectively capture image features. Among various methods for computing uniform superpixels, simple linear iterative clustering (SLIC) is popular due to its simplicity and high performance. In this paper, we extend SLIC to compute content-sensitive superpixels, i.e., small superpixels in content-dense regions (e.g., with high intensity...

article

Styling Evolution for Tight-Fitting Garments

Tsz-Ho Kwok, Yan-Qiu Zhang, Charlie C.L. Wang, Yong-Jin Liu, more

IEEE Transactions on Visualization and Computer Graphics > 2016 > 22 > 5 > 1580 - 1591

We present an evolution method for designing the styling curves of garments. The procedure of evolution is driven by aesthetics-inspired scores to evaluate the quality of styling designs, where the aesthetic considerations are represented in the form of streamlines on human bodies. A dual representation is introduced in our platform to process the styling curves of designs, based on which robust methods...

chapter

Planar Shape Matching and Feature Extraction Using Shape Profile

Yong-Jin Liu, Tao Chen, Xiao-Yu Chen, Terry K. Chang, more

Lecture Notes in Computer Science > Advances in Geometric Modeling and Processing > RegularPapers > 358-369

In this paper a novel cross correlation technique is proposed for shape matching between two similar objects. The proposed technique can not only evaluate the similarity between any two objects, but also has two distinct advantages compared to previous work: (1) the deformed articulated objects such as human being with different poses, can be matched very well; (2) the local feature extraction and...

chapter

Note on Industrial Applications of Hu’s Surface Extension Algorithm

Yu Zang, Yong-Jin Liu, Yu-Kun Lai

Lecture Notes in Computer Science > Advances in Geometric Modeling and Processing > RegularPapers > 304-314

An important surface modeling problem in CAD is to connect two disjoint B-spline patches with the second-order geometric continuity. In this paper we present a study to solve this problem based on the surface extension algorithm [Computer-Aided Design 2002; 34:415–419]. Nice properties of this extension algorithm are exploited in depth and thus make our solution very simple and efficient. Various...

chapter

An Efficient Implementation of RBF-Based Progressive Point-Sampled Geometry

Yong-Jin Liu, Kai Tang, Joneja Ajay

Lecture Notes in Computer Science > Geometric Modeling and Processing - GMP 2006 > Short Papers > 637-643

In this paper we address practical implementation issues of generating a progressive representation of point-sampled geometry. Fast and stable algorithms are proposed to efficiently implement a progressive version of the modified RBF Shepard’s method. Comparisons with several well-known methods are presented, showing that the proposed algorithms can achieve good balance between geometric error reduction...

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Search results for: Yong-Jin Liu

NP-completeness of optimal planning problem for modular robots

Micro-expression recognition with small sample size by transferring long-term convolutional neural network

Space complexity of exact discrete geodesic algorithms on regular triangulations

Learning to Rank Retargeted Images

Cross section-based hollowing and structural enhancement

RoboFDM: A robotic system for support-free fabrication using FDM

Objective Quality Prediction of Image Retargeting Algorithms

A Robust Divide and Conquer Algorithm for Progressive Medial Axes of Planar Shapes

Visualizing and Analyzing Video Content With Interactive Scalable Maps

Delta DLP 3D printing with large size

A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

Fast algorithm for singly linearly constrained quadratic programs with box-like constraints

An Interactive SpiralTape Video Summarization

The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

Neural activity associated with attention orienting triggered by implied action cues

Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels

Styling Evolution for Tight-Fitting Garments

Planar Shape Matching and Feature Extraction Using Shape Profile

Note on Industrial Applications of Hu’s Surface Extension Algorithm

An Efficient Implementation of RBF-Based Progressive Point-Sampled Geometry

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