H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,722 272 World Ranking 7955 National Ranking 72

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Computer vision, Pattern recognition, Facial recognition system and Image processing are his primary areas of study. Image registration, Eye tracking, Tracking, Adaptive learning and Segmentation are the primary areas of interest in his Artificial intelligence study. Yi-Ping Hung has included themes like RANSAC, Feature, Time complexity, Algorithm and Range in his Image registration study.

His Pattern recognition research is multidisciplinary, incorporating elements of Parameter space, Object detection and Three-dimensional space. His Facial recognition system research incorporates themes from Ranking, Machine learning and Sensor fusion. His Image processing research integrates issues from Linear discriminant analysis, Virtual reality and Three-dimensional face recognition.

His most cited work include:

  • RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images (310 citations)
  • Ordinal hyperplanes ranker with cost sensitivities for age estimation (252 citations)
  • Fast block matching algorithm based on the winner-update strategy (149 citations)

What are the main themes of his work throughout his whole career to date?

Yi-Ping Hung mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Computer graphics and Human–computer interaction. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Image processing, Feature extraction, Facial recognition system, Tracking and Object detection. Yi-Ping Hung works mostly in the field of Computer vision, limiting it down to topics relating to Visualization and, in certain cases, Autostereoscopy and Frame rate.

His research integrates issues of Histogram, Local binary patterns, Bayesian probability and Cluster analysis in his study of Pattern recognition. His study in Computer graphics is interdisciplinary in nature, drawing from both Augmented reality, Projection, Stereoscopy, Projector and Multi resolution. His work deals with themes such as Multimedia, Immersion, Mobile device and Haptic technology, which intersect with Human–computer interaction.

He most often published in these fields:

  • Artificial intelligence (71.58%)
  • Computer vision (59.93%)
  • Pattern recognition (17.47%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (71.58%)
  • Computer vision (59.93%)
  • Human–computer interaction (12.33%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Computer vision, Human–computer interaction, Virtual reality and Haptic technology. His Artificial intelligence study combines topics from a wide range of disciplines, such as Mobile device and Pattern recognition. His Pattern recognition research includes elements of Object-class detection, Similarity and Object detection.

His Computer vision study integrates concerns from other disciplines, such as Visualization and Computer graphics. The concepts of his Human–computer interaction study are interwoven with issues in Control and Control theory. His work in Virtual reality addresses issues such as Immersion, which are connected to fields such as Virtual image and Simulator sickness.

Between 2014 and 2021, his most popular works were:

  • Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance (53 citations)
  • DigitSpace: Designing Thumb-to-Fingers Touch Interfaces for One-Handed and Eyes-Free Interactions (51 citations)
  • Hybrid Method for 3-D Gaze Tracking Using Glint and Contour Features (33 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Computer vision, Human–computer interaction, Haptic technology and Virtual reality. His research combines Pattern recognition and Artificial intelligence. His work carried out in the field of Computer vision brings together such families of science as Cornea, Curvature, Pupil and Data set.

His biological study spans a wide range of topics, including Multimedia and Touchpad. As part of one scientific family, Yi-Ping Hung deals mainly with the area of Haptic technology, narrowing it down to issues related to the Motion, and often Simulation. His Virtual reality research incorporates elements of Optical flow, Immersion and Peripheral vision.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images

Chu-Song Chen;Yi-Ping Hung;Jen-Bo Cheng.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)

453 Citations

Ordinal hyperplanes ranker with cost sensitivities for age estimation

Kuang-Yu Chang;Chu-Song Chen;Yi-Ping Hung.
computer vision and pattern recognition (2011)

349 Citations

Fast block matching algorithm based on the winner-update strategy

Yong-Sheng Chen;Yi-Ping Hung;Chiou-Shann Fuh.
IEEE Transactions on Image Processing (2001)

281 Citations

Image Registration Using a New Edge-Based Approach

Jun-Wei Hsieh;Hong-Yuan Mark Liao;Kuo-Chin Fan;Ming-Tat Ko.
Computer Vision and Image Understanding (1997)

228 Citations

Efficient hierarchical method for background subtraction

Yu-Ting Chen;Chu-Song Chen;Chun-Rong Huang;Yi-Ping Hung.
Pattern Recognition (2007)

187 Citations

Range data acquisition using color structured lighting and stereo vision

Chu-Song Chen;Yi-Ping Hung;Chiann-Chu Chiang;Ja-Ling Wu.
Image and Vision Computing (1997)

166 Citations

Panoramic stereo imaging system with automatic disparity warping and seaming

Ho-Chao Huang;Yi-Ping Hung.
Graphical Models and Image Processing (1998)

145 Citations

Comparison between immersion-based and toboggan-based watershed image segmentation

Yung-Chieh Lin;Yu-Pao Tsai;Yi-Ping Hung;Zen-Chung Shih.
IEEE Transactions on Image Processing (2006)

130 Citations

A fast automatic method for registration of partially-overlapping range images

Chu-Song Chen;Yi-Ping Hung;Jen-Bo Cheng.
international conference on computer vision (1998)

130 Citations

A Ranking Approach for Human Ages Estimation Based on Face Images

Kuang-Yu Chang;Chu-Song Chen;Yi-Ping Hung.
international conference on pattern recognition (2010)

129 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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