INTRODUCTION TO: Object-based Imagine Analysis OBIA: Methods applications across ecosystems and sensors

Nov 10, 2012

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INTRODUCTION TO: Object-based Imagine Analysis OBIA: Methods applications across ecosystems and sensors

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A Study of Approaches for Object Recognition

A Study of Approaches for Object Recognition. Presented by Wyman Wong 12/9/2005. Outlines. Introduction Model-Based Object Recognition AAM Inverse Composition AAM View-Based Object Recognition Recognition based on boundary fragments Recognition based on SIFT Proposed Research

659 views • 26 slides

Data Mining: Clustering

Data Mining: Clustering. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Grid-Based Methods Model-Based Clustering Methods Outlier Analysis Summary .

1.26k views • 45 slides

Introduction to Sensors

Introduction to Sensors. Sookram Sobhan. Overview. What are Sensors? Detectable Phenomenon Physical Principles – How Do Sensors Work? Need for Sensors Choosing a Sensor Sensor Descriptions Temperature Sensor Accelerometer Light Sensor Magnetic Field Sensor Ultrasonic Sensor

899 views • 17 slides

Clustering

Clustering. Wei Wang. Outline. What is clustering Partitioning methods Hierarchical methods Density-based methods Grid-based methods Model-based clustering methods Outlier analysis . Outliers. Cluster 1. Cluster 2. What Is Clustering?. Group data into clusters

404 views • 27 slides

Agenda

Agenda. Introduction Bag-of-words models Visual words with spatial location Part-based models Discriminative methods Segmentation and recognition Recognition-based image retrieval Datasets & Conclusions. Aim. Given an image and object category, to segment the object. Object Category

330 views • 17 slides

Sensors(part2)

Sensors(part2) . Instructor: Shuvra Das Mechanical Engineering Dept. University of Detroit Mercy. Flowchart of Mechatronic Systems. Some Sensors: Strain gages. Bonded to surface of object. Resistance varies as a function of the surface strain experienced by the object

815 views • 64 slides

Cluster Analysis

Cluster Analysis. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods Model-Based Clustering Methods Outlier Analysis Summary .

935 views • 31 slides

Temperature Sensors

Temperature Sensors. Objectives. Names and different methods to measure the temperature Resistance temperature detectors (RTD) Thermister NTC and PTC Thermocouples Pyrometers Smart temperature sensors Applications. Thermocouples.

1.04k views • 18 slides

Clustering Analysis

Clustering Analysis. CS 685: Special Topics in Data Mining Jinze Liu. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods

731 views • 44 slides

Object Oriented Analysis and Design Using the UML Version 4.2

Object Oriented Analysis and Design Using the UML Version 4.2. Prepared by:Kandarp R. Somaiya. Introduction to Object Orientation. Objectives: Introduction to Object Orientation. Understand the basic principles of object orientation

769 views • 61 slides

GRAVIMETRIC METHODS OF ANALYSIS

GRAVIMETRIC METHODS OF ANALYSIS Gravimetric methods are quantitative methods based upon measuring the mass of a pure compound to which the analyte is chemically related. 1. Precipitation Method Based on determination of an analyte which is precipitated by a precipitating reagent.

3.18k views • 29 slides

Applications (2)

Applications (2). Lecture 4. CA in engineering. The CA has opened a totally new filed of scientific investigations in engineering sciences which is based on powerful methods for the analysis of multiparametric solutions and

450 views • 27 slides

Visual Analysis of Human/Object Motion

Visual Analysis of Human/Object Motion. 2003. 1. 29 Ryu Mi Wyun. Contents. Introduction Applications Human Motion Analysis 3D Object Motion Analysis Conclusion. Motion Analysis. Most active research topics in CV Promising applications in many areas

480 views • 23 slides

Metabolic Pathway Analysis. Fundamentals and Applications

Metabolic Pathway Analysis. Fundamentals and Applications. Stefan Schuster Friedrich Schiller University Jena Dept. of Bioinformatics. Introduction. Analysis of metabolic systems requires theoretical methods due to high complexity

948 views • 57 slides

Lecture 10 Clustering

Lecture 10 Clustering. Preview. Introduction Partitioning methods Hierarchical methods Model-based methods Density-based methods. Examples of Clustering Applications.

605 views • 45 slides

Introduction to Sensors

Introduction to Sensors. Your answers here!. What are sensors?. A sensor tells a robot one simple thing about it’s environment Temperature Distance Light intensity Allow robots to see and feel the physical world through which they travel Two main types of sensors: digital and analog.

438 views • 12 slides

Imagine If…

Imagine If…. What would we do without Children’s Rights?. Imagine if…. Brooke. Imagine if. Bella. Imagine if…. Brooklyn. Imagine if. Love!. Charly. imagine if. Devan. I m a g i n e I f …. Jaime-Lee. Imagine if. Joe. Imagine if…. Katelyn. Imagine if …. Kurtis. Imagine if….

675 views • 21 slides

Spatial Clustering Methods

Spatial Clustering Methods. In Data Mining GDM. Ronald Treur. 23 September 2003. Contents. Spatial Clustering Considerations Clustering Algorithms Partitioning Methods Hierarchical Methods Density-based Methods Grid-based Methods Constraint-based Analysis Conclusion.

1.65k views • 63 slides

Unit 1: Interactions Within Ecosystems

Unit 1: Interactions Within Ecosystems. Chapter 1: Ecosystems Slide Show #1. Getting Started… (p.4). Close your eyes and imagine that you are standing in a forest. Now, list at least 5 things that you “see”.

534 views • 26 slides

Clustering

Clustering. Wei Wang. Outline. What is clustering Partitioning methods Hierarchical methods Density-based methods Grid-based methods Model-based clustering methods Outlier analysis. Outliers. Cluster 1. Cluster 2. What Is Clustering?. Group data into clusters

492 views • 27 slides

Chapter 7. Cluster Analysis

Chapter 7. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods Model-Based Methods Clustering High-Dimensional Data

1.09k views • 74 slides

Object-Oriented Methods: Database Technology

Object-Oriented Methods: Database Technology. An introduction. Lecture Overview. Background Database Relational versus OO Solutions for Object Persistence Object-Oriented Database Object-Relational Commercially available products. Database systems. Primary purpose:

348 views • 17 slides

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