Improving RGB Descriptors Using Depth Cues

被引:0
|
作者
Stefanczyk, Maciej [1 ]
机构
[1] Warsaw Univ Technol, Inst Control & Computat Engn, Nowowiejska 15-19, PL-00665 Warsaw, Poland
来源
关键词
RGB-D; Descriptors; Matching; Data fusion; HISTOGRAMS;
D O I
10.1007/978-3-030-00692-1_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Geometrical distortions are tackled in different way in multiple keypoint detection and feature extraction algorithms. However, those are implemented as an integral part of the solution, making it impossible to use the same distortion removal method in other solutions. To the best of authors knowledge, there are no universal methods of distortion removal, that can be used as an intermediate step, between keypoint detection and feature extraction. Creating that kind of algorithm, instead of development of yet another `robust descriptor', will enable seamless integration in existing applications, and, possibly, will increase object recognition success rate, independent of the selected keypoint detector/descriptor pair.
引用
收藏
页码:251 / 262
页数:12
相关论文
共 50 条
  • [1] OBJECT CLASSIFICATION FROM RGB-D IMAGES USING DEPTH CONTEXT KERNEL DESCRIPTORS
    Pan, Hong
    Olsen, Soren Ingvor
    Zhu, Yaping
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 512 - 516
  • [2] Advancing biomass estimation in hydroponic lettuce using RGB-depth imaging and morphometric descriptors with machine learning
    Cardenas-Gallegos, Jonathan S.
    Lacerda, Lorena Nunes
    Severns, Paul M.
    Peduzzi, Alicia
    Klimes, Pavel
    Ferrarezi, Rhuanito Soranz
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 234
  • [3] RGB-D Object Classification Using Covariance Descriptors
    Fehr, Duc
    Beksi, William J.
    Zermas, Dimitris
    Papanikolopoulos, Nikolaos
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 5467 - 5472
  • [4] Marker Identification Using IR LEDs and RGB Color Descriptors
    Koutaki, Gou
    Hirata, Shodai
    Sato, Hiromu
    Uchimura, Keiichi
    2015 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, 2015, : 96 - 99
  • [5] Hand Gesture Recognition using RGB-D Cues
    Lin, Lan
    Cong, Yang
    Tang, Yandong
    PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2012, : 311 - 316
  • [6] Aligning RGB-D Point Clouds through Adaptive Integration of Color and Depth Cues
    Perafan Villota, Juan Carlos
    Reali Costa, Anna Helena
    2015 12TH LATIN AMERICAN ROBOTICS SYMPOSIUM AND 2015 3RD BRAZILIAN SYMPOSIUM ON ROBOTICS (LARS-SBR), 2015, : 309 - 314
  • [7] Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition
    Al-Akam, Rawya
    Paulus, Dietrich
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018), 2018, : 265 - 272
  • [8] Pedestrian Detection Using an RGB-Depth Camera
    Cheng, Wen-Chang
    2016 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY), 2016,
  • [9] Depth Estimation using Monocular and Stereo Cues
    Saxena, Ashutosh
    Schulte, Jamie
    Ng, Andrew Y.
    20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007, : 2197 - 2203
  • [10] Efficient wound measurements using RGB and depth images
    Gaur, Akshay
    Sunkara, Rithvik
    Raj, Alex Noel Joseph
    Celik, Turgay
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2015, 18 (04) : 333 - 358