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arXiv 2025年

作者： Wu, Qianliang Jiang, Haobo Ding, Yaqing Luo, Lei Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China School of Computer Science and Engineering Nanjing University of Science and Technology China Nanyang Technological University Singapore Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Intelligence Science and Technology Nanjing University Suzhou China

Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registration. However, these tasks are often complicated by challenges such as scale inconsistencies, symmetry, and large deformations, which can lead to ambiguous matches. Previous feature-based and correspondence-based methods typically rely on geometric or semantic features to generate or polish initial potential correspondences. Some methods typically leverage specific geometric priors, such as topological preservation, to devise diverse and innovative strategies tailored to a given enhancement goal, which cannot be exhaustively enumerated. Additionally, many previous approaches rely on a single-step prediction head, which can struggle with local minima in complex matching scenarios. To address these challenges, we introduce an innovative paradigm that leverages a diffusion model in matrix space for robust matching matrix estimation. Our model treats correspondence estimation as a denoising diffusion process in the matching matrix space, gradually refining the intermediate matching matrix to the optimal one. Specifically, we apply the diffusion model in the doubly stochastic matrix space for 3D-3D and 2D-3D registration tasks. In the 2D image registration task, we deploy the diffusion model in a matrix sub-space, where dual-softmax projection regularization is applied. For all three registration tasks, we provide adaptive matching matrix embedding implementations tailored to the specific characteristics of each task while maintaining a consistent"match-to-warp" encoding pattern. Furthermore, we adopt a lightweight design for the denoising module. In inference, once points or image features are extracted and fixed, this module performs multi-step denoising predictions through reverse sampling. Evaluations on both 2D and 3D registration tasks demonstrate the effectiveness of our approach. Copyrigh

关键词： Stochastic systems

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Detection of dynamic overlays for association football from TV broadcasting

Detection of dynamic overlays for association football from ...

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14th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2013

作者： Siles, Ing. Francisco PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479901975

This paper presents a new dissimilarity measure for the detection of dynamic overlays in football games from TV broadcasting. The detection of the dynamic overlays is used for finding the replays in the input video, that are to be removed for further processing. The replays' detection and removal is part of the first module of the system ACE-Football for the automated interpretation of association football games, which is being developed at the pris-lab. Positive results of experiments conducted on several games of the latest FIFA's World Cup are presented. © 2013 IEEE.

关键词： Sports

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Deceived bilateral filter for improving the classification of football players from TV broadcast 3

Deceived bilateral filter for improving the classification o...

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3rd IEEE International Work-Conference on Bioinspired Intelligence, IWOBI 2014

作者： Ramírez, Saúl Calderón Canales, Francisco Siles PRIS-LAB: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Faculty of Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479961740

This paper presents a novel image abstraction tech- nique, the deceived bilateral filter (DBF). The DBF combines border sharpening with simplification of homogeneous regions to achieve moderate de-blurring and colour emphasis. The aim of the DBF is to remove noise of colour and shape descriptors (histograms and contours) of the blobs corresponding to football players. The experiment implemented for this paper consists in an unsupervised histogram based classification of the blobs based on the team of the football players aiming to evaluate histogram denoising. The results show an average classification success rate improvement of 11%. © 2014 IEEE.

关键词： Image enhancement

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Teleoperation of a Humanoid Robot Using an Optical Motion Capture System

Teleoperation of a Humanoid Robot Using an Optical Motion Ca...

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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018

作者： Nunez, L. Dajles, D. Siles, F. Department of Electrical Engineering School of Engineering Universidad de Costa Rica PRIS-Lab: Pattern Recognition and Intelligent Systems Laboratory San Jose Costa Rica

ISBN: (纸本)9781538675069

Given the resemblance between the human body and that of a humanoid robot, a very intuitive control system might use motion capture;the system would track the motion of different key joints along the body of the human operator and the robot should mimic the action. To mimic the human's actions, a structure that supports and solves the issues related to motion tracking, human-robot figure relation, motion stability, and other issues is needed. This project consist of the development of a teleoperation system, which would allow a NAO humanoid robot to behave as a human motion imitator, using an optical motion capture system. © 2018 IEEE.

关键词： Remote control

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Goniometry-based Glitch-Correction Algorithm for Optical Motion Capture Data

Goniometry-based Glitch-Correction Algorithm for Optical Mot...

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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018

作者： Castresana, M. Siles, F. Department of Electrical Engineering School of Engineering Universidad de Costa Rica PRIS-Lab: Pattern Recognition and Intelligent Systems San José Costa Rica

ISBN: (纸本)9781538675069

Nowadays , motion capture technology is used in productions of all levels in 3D Animation. The concept on which this technology is based on, consists of the elaboration of 3D models from numerical data taken by a set of sensors (for example infrared cameras) interpreted by a software. The problem with this technology is that the processing of data generated by these sensors is not always accurate, causing loss of positional data which results in errors called glitches, that produce corrupted 3D models. In this work, a goniometry-based algorithm to detect, locate and correct the glitches generated from optical motion capture data is presented. Based on the classification of angular measures of the articular physiology in humans, a pattern recognition approach was used to construct the algorithm. The proposed algorithm produces average F1-scores of 0.956 using synthetical data, and produces natural results in most of the cases for real data. © 2018 IEEE.

关键词： pattern recognition

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M-Phase Feature Extraction Algorithm for Phenotype Classification from Cancer Brightfield Microscopy

M-Phase Feature Extraction Algorithm for Phenotype Classific...

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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018

作者： Mora-Zuniga, A. Quiros-Barrantes, Steve Siles, F. Department of Electrical Engineering School of Engineering PRIS-Lab: Pattern Recognition and Intelligent Systems Laboratory Costa Rica School of Microbiology Universidad de Costa Rica San Jose Costa Rica

ISBN: (纸本)9781538675069

In this paper a workflow to extract cell features from brightfield microscopy image sequences is proposed. An event driven approach, combined with a forward and backward tracking limited by the cell's circularity was proven enough to extract relevant features that can be used to classify the cells into four phenotypes related to chemosensitivity studies: cell cycle arrest, apoptotic, damage proliferation and cells that have repaired their DNA damage. An average F1-Score greater than 0.7 was achieved in the detection and follow up of the events on images that present characteristics that impede the use of classic image segmentation and methods. © 2018 IEEE.

关键词： Cells

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Temporal segmentation of association football from TV broadcasting

Temporal segmentation of association football from TV broadc...

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17th IEEE International Conference on intelligent engineering systems, INES 2013

作者： Siles, Francisco Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479908288

This paper presents the first module of our system Ace for the automated interpretation of association football games. This module is in charge of the temporal segmentation of the input broadcasting TV video into scenes. The temporal segmentation is based on a new devised dissimilarity measure using the Bhattacharyya distance of the hue and local spatial variance histograms, to incorporate chromatic and structural properties of the images. Great results of extended experiments conducted on the last FIFA's World Cup are presented. © 2013 IEEE.

关键词： Image segmentation

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Genome Copy Number Feature Selection Based on Chromosomal Regions Alterations and Chemosensitivity Subtypes

Genome Copy Number Feature Selection Based on Chromosomal Re...

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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018

作者： Vargas, J. Mora-Rodriguez, Rodrigo Siles, F. Department of Electrical Engineering School of Engineering Universidad de Costa Rica Pattern Recognition and Intelligent Systems Laboratory Sna José Costa Rica

ISBN: (纸本)9781538675069

Cancer disease causes millions of deaths throughout the world and thousands in Costa Rica, and cancer treatment causes an immense economic burden on the social security system because drugs against the disease are extremely expensive. Through DNA sequencing techniques, the copy number of each gene could be found in order to describe how many times a gene is repeated within chromosomes. This type of data is of great importance since the cancer manifests a phenomenon called aneuploidy that consists of alterations in the number of chromosomes copies. Theories about the importance of aneuploidy in cancer supposed this phenomenon is a evolutionary engine that allows the disease to grow and resist changes produced by the organism and the treatments applied to these tissues. Studies have collected data on the number of copies in well-known databases such as CCLE and TCGA, which can be used to analyze the relationship between alterations in DNA and resistance to chemotherapies. In this study as a contribution, it was proposed to use statistical pattern recognition methods in order to identify chromosomal regions of DNA related to cancer chemosensitivity subtypes (resistant and sensitive subgroups) and then use these regions for CCLE cell lines labeling and TCGA samples classification. © 2018 IEEE.

关键词： Chemotherapy

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Temporal Segmentation of Association Football from TV Broadcasting

Temporal Segmentation of Association Football from TV Broadc...

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IEEE International Conference on intelligent engineering systems

作者： Francisco Siles PRIS-LAB: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Faculty of Engineering Universidad de Costa Rica

ISBN: (纸本)9781479908271

This paper presents the first module of our system ACE for the automated interpretation of association football games. This module is in charge of the temporal segmentation of the input broadcasting TV video into scenes. The temporal segmentation is based on a new devised dissimilarity measure using the Bhattacharyya distance of the hue and local spatial variance histograms, to incorporate chromatic and structural properties of the images. Great results of extended experiments conducted on the last FIFA's World Cup are presented.

关键词： television broadcasting Footballs segmentation Segmentation color tones Structural properties

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Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval

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IEEE Transactions on Circuits and systems for Video Technology 2007年第3期17卷 257-258页

作者： Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States

No abstract available

关键词： Special issues and sections Knowledge engineering Information retrieval Audio-visual systems

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