Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285335655> ?p ?o ?g. }
- W4285335655 abstract "The registration of point cloud is essentially to obtain a relatively accurate coordinate transformation matrix through operation, and unify the point cloud data from multiview into the particular coordinate system through rigid transformations such as rotation and translation. Generally speaking, the registration is to discover the position conversion matrix of the overlap between clouds, which have an important effect in the domain of robot and computer vision. The purpose of this article is to comprehensively summarize the current progress of point cloud registration from two dimensions: algorithm optimization methods and deep learning methods. This paper first points out the possible application fields and development direction of point cloud registration in the future, then makes a comparison between different algorithms, and finally makes a proper analysis of the advantages and disadvantages of each algorithm." @default.
- W4285335655 created "2022-07-14" @default.
- W4285335655 creator A5009028773 @default.
- W4285335655 creator A5033853758 @default.
- W4285335655 creator A5049434676 @default.
- W4285335655 creator A5069053017 @default.
- W4285335655 creator A5084909230 @default.
- W4285335655 date "2021-11-01" @default.
- W4285335655 modified "2023-09-27" @default.
- W4285335655 title "Registration of Point Clouds: A Survey" @default.
- W4285335655 cites W1567242735 @default.
- W4285335655 cites W1965805571 @default.
- W4285335655 cites W1972485825 @default.
- W4285335655 cites W1988874269 @default.
- W4285335655 cites W1989671355 @default.
- W4285335655 cites W2004312117 @default.
- W4285335655 cites W2034950486 @default.
- W4285335655 cites W2076965120 @default.
- W4285335655 cites W2083624955 @default.
- W4285335655 cites W2085261163 @default.
- W4285335655 cites W2105319067 @default.
- W4285335655 cites W2108650421 @default.
- W4285335655 cites W2118631462 @default.
- W4285335655 cites W2130763585 @default.
- W4285335655 cites W2143668817 @default.
- W4285335655 cites W2144491133 @default.
- W4285335655 cites W2151374674 @default.
- W4285335655 cites W2160821342 @default.
- W4285335655 cites W2171592532 @default.
- W4285335655 cites W2178371335 @default.
- W4285335655 cites W2236623899 @default.
- W4285335655 cites W2271206385 @default.
- W4285335655 cites W2288785868 @default.
- W4285335655 cites W2341115255 @default.
- W4285335655 cites W2343291992 @default.
- W4285335655 cites W2614890511 @default.
- W4285335655 cites W2733476998 @default.
- W4285335655 cites W2738467687 @default.
- W4285335655 cites W2760667226 @default.
- W4285335655 cites W2768625376 @default.
- W4285335655 cites W2793187686 @default.
- W4285335655 cites W2803591142 @default.
- W4285335655 cites W2805759392 @default.
- W4285335655 cites W2889300857 @default.
- W4285335655 cites W2898223598 @default.
- W4285335655 cites W2962981076 @default.
- W4285335655 cites W2986382673 @default.
- W4285335655 cites W3007430877 @default.
- W4285335655 cites W3013243617 @default.
- W4285335655 cites W3046420962 @default.
- W4285335655 cites W3108059345 @default.
- W4285335655 cites W4229624061 @default.
- W4285335655 cites W4237162356 @default.
- W4285335655 cites W4243293508 @default.
- W4285335655 cites W4299823361 @default.
- W4285335655 doi "https://doi.org/10.1109/insai54028.2021.00034" @default.
- W4285335655 hasPublicationYear "2021" @default.
- W4285335655 type Work @default.
- W4285335655 citedByCount "1" @default.
- W4285335655 countsByYear W42853356552023 @default.
- W4285335655 crossrefType "proceedings-article" @default.
- W4285335655 hasAuthorship W4285335655A5009028773 @default.
- W4285335655 hasAuthorship W4285335655A5033853758 @default.
- W4285335655 hasAuthorship W4285335655A5049434676 @default.
- W4285335655 hasAuthorship W4285335655A5069053017 @default.
- W4285335655 hasAuthorship W4285335655A5084909230 @default.
- W4285335655 hasConcept C10138342 @default.
- W4285335655 hasConcept C104317684 @default.
- W4285335655 hasConcept C105580179 @default.
- W4285335655 hasConcept C106487976 @default.
- W4285335655 hasConcept C111919701 @default.
- W4285335655 hasConcept C11413529 @default.
- W4285335655 hasConcept C121332964 @default.
- W4285335655 hasConcept C126795593 @default.
- W4285335655 hasConcept C131979681 @default.
- W4285335655 hasConcept C134306372 @default.
- W4285335655 hasConcept C149364088 @default.
- W4285335655 hasConcept C154945302 @default.
- W4285335655 hasConcept C158693339 @default.
- W4285335655 hasConcept C159985019 @default.
- W4285335655 hasConcept C162324750 @default.
- W4285335655 hasConcept C165443888 @default.
- W4285335655 hasConcept C185592680 @default.
- W4285335655 hasConcept C192562407 @default.
- W4285335655 hasConcept C198082294 @default.
- W4285335655 hasConcept C204241405 @default.
- W4285335655 hasConcept C22629506 @default.
- W4285335655 hasConcept C2524010 @default.
- W4285335655 hasConcept C28719098 @default.
- W4285335655 hasConcept C31972630 @default.
- W4285335655 hasConcept C33923547 @default.
- W4285335655 hasConcept C36503486 @default.
- W4285335655 hasConcept C39920418 @default.
- W4285335655 hasConcept C41008148 @default.
- W4285335655 hasConcept C49996920 @default.
- W4285335655 hasConcept C54848796 @default.
- W4285335655 hasConcept C55493867 @default.
- W4285335655 hasConcept C62520636 @default.
- W4285335655 hasConcept C74050887 @default.
- W4285335655 hasConcept C74650414 @default.