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Hierarchical shape model for windows detection
In this paper, we test the performance of a hierarchical shape detector on the problem of window detection in facade images. The hierarchical shape model detector is constructed automatically using a small number o...
JD - Využití počítačů, robotika a její aplikace
- 2011 •
- O
Rok uplatnění
O - Ostatní výsledky
A Hierarchical Finite-State Model for Texture Segmentation
A novel model for unsupervised segmentation of texture images is presented. The image to be segmented is first discretized and then a hierarchical finite-state region-based model is automatically coupled w...
BD - Teorie informace
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
A hierarchical texture model for unsupervised segmentation of remotely sensed images
In this work a novel texture model particularly suited for unsupervised image-state hierarchical model resulting from the superposition of several Markov chains to such a modeling, an optimization scheme, ...
BD - Teorie informace
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
A Hierarchical Finite-State Model for Texture Segmentation
Basic themes of document: image segmentation; texture; Markov random fields...
BD - Teorie informace
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
at different scales of observation: accordingly, the model is named Hierarchical MultipleIn this paper, we present a novel multiscale texture model and a related algorithm for the unsupervised segmentation of color ima...
BD - Teorie informace
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Synthetic dataset for compositional learning
This contribution presents a framework for a generation of synthetic images realistic images. Besides image data, additional label information, such as depth, normal maps and object components masks, are generated. Hier...
Applied mathematics
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Lukasiewicz Neural Network for Hierarchical Image Processing
The hierarchical image processing is based on the first hidden layer of traditional fuzzy filters. The second layer consists of minimum elements and the output is realized as maximum of them. The optimum min-max structure is better ...
JD - Využití počítačů, robotika a její aplikace
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Hierarchical Layered Mean Shift Methods
Many image processing tasks exist and segmentation is one of them. We are focused on the mean-shift segmentation method. Our goal is to improve its speed propose new mean-shift method called Hierarchical Layered Mean Shift. It uses ...
IN - Informatika
- 2013 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local descriptors between a query image and a pre-built 3D model. In this work, we present a new hierarchical sc...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2024 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Image Classification with GHNN-Networks
The paper introduces a new model of the so-called Growing Hierarchical Neural Networks (GHNN) applicable to image classification without requiring any special domain-specific pre-processing. Two experimental case studies in...
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
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