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[PDF] Top 20 Fast segmentation of 3D data using an octree

Has 10000 "Fast segmentation of 3D data using an octree" found on our website. Below are the top 20 most common "Fast segmentation of 3D data using an octree".

Fast segmentation of 3D data using an octree

Fast segmentation of 3D data using an octree

... application of a quadtree is very useful be- cause of the smoothing: the noise reduction improves class separation such that at a certain tree level a clus- tering and classification yield correct initial ... See full document

5

Cave chamber data modeling and 3D Web visualization

Cave chamber data modeling and 3D Web visualization

... plexity of the 3D-mesh, the realistic visualization of the chamber and real time ...with an octree depth of 11 to generate a 3D-mesh with about 5 mil- lion vertices and 10 ... See full document

6

Segmentation and Classification of Human Actions and Actor Characteristics with 3d Motion Data

Segmentation and Classification of Human Actions and Actor Characteristics with 3d Motion Data

... As an alternative to the Levenberg-Marquardt back-propagation training procedure which is quite popular, the very high-speed Resilient back-propagation (RPROP) training technique [28] was ...for 3D image, ... See full document

17

FISICO: Fast Image SegmentatIon COrrection.

FISICO: Fast Image SegmentatIon COrrection.

... problem of segmentation has been addressed from a variety of directions ...spectrum of segmentation algorithms. Nevertheless, the performance of these algorithms is still ...the ... See full document

17

Arq. Bras. Oftalmol.  vol.78 número6

Arq. Bras. Oftalmol. vol.78 número6

... validation of 3D printing in ophthalmology is the demonstration of precise device modeling at a resolution of approximately 600 μm, depending on what material is being ...printed. 3D ... See full document

2

An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

... set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression ...is an algorithm that attempts to find a linear separator (hyper-plane) ... See full document

6

AN ADAPTIVE APPROACH FOR SEGMENTATION OF 3D LASER POINT CLOUD

AN ADAPTIVE APPROACH FOR SEGMENTATION OF 3D LASER POINT CLOUD

... proposed segmentation approach can be applied for both airborne and terrestrial laser data; however, the defined thresholds in this algorithm should be adjusted for different laser datasets based on the ... See full document

6

A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images.

A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images.

... implementation of a generic image segmen- tation ...images of size up to 8192 × 8192 × 256 = ...GB of data per image at 16 bit depth. Distributing an image across 128 computers enabled ... See full document

36

A NOVEL METHOD FOR AUTOMATION OF 3D HYDRO BREAK LINE GENERATION FROM LIDAR DATA USING MATLAB

A NOVEL METHOD FOR AUTOMATION OF 3D HYDRO BREAK LINE GENERATION FROM LIDAR DATA USING MATLAB

... intensity data gives better classification accuracy for water body detection (Antonarakis et ...presence of water ...probability of finding water bodies on ...lots of pre-processing of ... See full document

6

An automatic integrated image segmentation, registration and change detection method for water-body extraction using HSR images and GIS data

An automatic integrated image segmentation, registration and change detection method for water-body extraction using HSR images and GIS data

... production of our proposed ...accuracy of registration and extraction respectively. The accuracy of registration is evaluated using the root mean squared error ...results of traditional ... See full document

6

Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentation

Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentation

... multiplication of industry sales and market share forecasts to calculate the company sales forecast ...mix of quantitative and qualitative methods, being the most common the analysis of historical ... See full document

96

Human Tracking and Segmentation using Color Space Conversion

Human Tracking and Segmentation using Color Space Conversion

... one of the most popular methods for novelty detection in video ...representation of the background that is representative, robust to the noise and is sensitive to new objects, and second, to build another ... See full document

5

Design and Performance Analysis of FFT in OFDM applications using VHDL

Design and Performance Analysis of FFT in OFDM applications using VHDL

... examination of common wireless channel characteristics such as noise, multipath, and ...random data to the transmitted signal, simple noise can be simulated for performance ...copies of the ... See full document

7

Estimating Energy Conservation Potential Of Local Metal Casting Units In Uganda Using Data Envelopment Analysis

Estimating Energy Conservation Potential Of Local Metal Casting Units In Uganda Using Data Envelopment Analysis

... form of industrial production as well as generation of employment opportunities although they are frequently faced with barriers to their growth such as lack of awareness or access to clean energy ... See full document

7

Segmentation and 3D Reconstruction of Animal Tissues in Histological Images

Segmentation and 3D Reconstruction of Animal Tissues in Histological Images

... the 3D reconstructing, the registration process started from an image in the middle of the image stack, since the slices closest to the center generally contain more information about the tissue ... See full document

15

SEGMENTATION OF UAV-BASED IMAGES INCORPORATING 3D POINT CLOUD INFORMATION

SEGMENTATION OF UAV-BASED IMAGES INCORPORATING 3D POINT CLOUD INFORMATION

... detection of individual building and recognition of its distinct sub-elements from remote sensing data are crucial for many applications including 3D building modelling, building level damage ... See full document

8

Framework for 3D data modeling and Web visualization of underground caves using open source tools

Framework for 3D data modeling and Web visualization of underground caves using open source tools

... field of the boundary of a solid can be interpreted as the gradient of the solid’s indicator ...set of oriented points sampling the boundary of a solid, a 3D-mesh can be obtained ... See full document

8

Financial planning as a key criterion for the effectiveness of segmentation and positioning of fast food

Financial planning as a key criterion for the effectiveness of segmentation and positioning of fast food

... results of the analysis. Main processes of marketing activity of the company are planning this type of activity and determination of the major costs associated with ...planning ... See full document

11

Image Segmentation using bi directional of neural network

Image Segmentation using bi directional of neural network

... form of signal processing for which the input is an image, such as photographs; the output of image processing can be either an Image or a set of characteristics or parameters related ... See full document

11

Ouro Preto August 31st, 2012

Ouro Preto August 31st, 2012

... was an assertive decision, as both technologies propose themselves to be linearly scalable with hardware and fit well into s-WIM ...provides an implementation of MapReduce, which has become the world ... See full document

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