His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Shape analysis and Active shape model. His study ties his expertise on Graph theory together with the subject of Artificial intelligence. His Pattern recognition study combines topics in areas such as Graph, Shape context and Image retrieval.
As part of the same scientific family, he usually focuses on Computer vision, concentrating on Computational geometry and intersecting with Connected component, Background subtraction and Simple. In Shape analysis, Longin Jan Latecki works on issues like Discriminative model, which are connected to Video tracking, Search engine indexing, Coding and Feature vector. His biological study deals with issues like Scaling, which deal with fields such as Smoothing, Tangent, Invariant and Transformation geometry.
Longin Jan Latecki focuses on Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Segmentation. His work investigates the relationship between Artificial intelligence and topics such as Graph that intersect with problems in Theoretical computer science. His Computer vision study focuses mostly on Digitization, Digital image, Object, Shape analysis and Motion detection.
His research ties Topology and Digitization together. His Pattern recognition research is multidisciplinary, relying on both Image, Similarity and Image retrieval. His work deals with themes such as Particle filter and Topological skeleton, which intersect with Algorithm.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Convolutional neural network. He studied Artificial intelligence and Machine learning that intersect with Graph. The study incorporates disciplines such as Pixel, Visualization, Pascal and Saliency map in addition to Pattern recognition.
His Segmentation study integrates concerns from other disciplines, such as Encoder, Pyramid and Conditional random field. Longin Jan Latecki regularly ties together related areas like Location aware in his Computer vision studies. His Convolutional neural network research incorporates elements of Recurrent neural network, Image, Polygon mesh and Parsing.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Feature extraction. His Artificial intelligence research includes themes of Graph and Data mining. Longin Jan Latecki has researched Pattern recognition in several fields, including Pixel and Machine learning.
His Segmentation research includes themes of Encoder, Decoding methods, Communication channel and Computer engineering. In general Computer vision, his work in Visual appearance, Channel and RGB color model is often linked to Amodal perception linking many areas of study. His Feature extraction research incorporates elements of Inverted index, Scalability, Feature and Projection.
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.
Shape descriptors for non-rigid shapes with a single closed contour
L.J. Latecki;R. Lakamper;T. Eckhardt.
computer vision and pattern recognition (2000)
Shape similarity measure based on correspondence of visual parts
L.J. Latecki;R. Lakamper.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
Xiang Bai;L.J. Latecki;Wen-Yu Liu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution
Longin Jan Latecki;Rolf Lakämper.
Computer Vision and Image Understanding (1999)
Path Similarity Skeleton Graph Matching
Xiang Bai;L.J. Latecki.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)
Incremental Local Outlier Detection for Data Streams
D. Pokrajac;A. Lazarevic;L.J. Latecki.
computational intelligence and data mining (2007)
Learning Context-Sensitive Shape Similarity by Graph Transduction
Xiang Bai;Xingwei Yang;L.J. Latecki;Wenyu Liu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval
Xingwei Yang;Suzan Koknar-Tezel;Longin Jan Latecki.
computer vision and pattern recognition (2009)
Maximum weight cliques with mutex constraints for video object segmentation
Tianyang Ma;Longin Jan Latecki.
computer vision and pattern recognition (2012)
Outlier Detection with Kernel Density Functions
Longin Jan Latecki;Aleksandar Lazarevic;Dragoljub Pokrajac.
machine learning and data mining in pattern recognition (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: