Lecture - 32 Estimation - I Lecture Series on Software Engineering by Sarda, Prof. Umesh Bellur,Prof.RKJoshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit nptel.iitm.ac.in
Construction Estimating Software for Contractors www.construction-estimating- Construction estimating software is important for contractors because it helps them do their construction estimating consistently time after time. That's the way they will make money over the long term. The Contractor's Profit System will help you save time, bid more accurately, and make money job after job.
Estimating Human Shape and Pose From a Single Image Estimating human shape and pose from a single image, Guan, P., Weiss, A., Balan, A., Black, MJ, Int. Conf. on Computer Vision, ICCV, Kyoto, Japan, Sept. 2009. We describe a solution to the challenging problem of estimating human body shape from a single photograph or painting. Our approach computes shape and pose parameters of a 3D human body model directly from monocular image cues and advances the state of the art in several directions. First, given a user-supplied estimate of the subject's height and a few clicked points on the body we estimate an initial 3D articulated body pose and shape. Second, using this initial guess we generate a tri-map of regions inside, outside and on the boundary of the human, which is used to segment the image using graph cuts. Third, we learn a low-dimensional linear model of human shape in which variations due to height are concentrated along a single dimension, enabling height-constrained estimation of body shape. Fourth, we formulate the problem of parametric human shape from shading. We estimate the body pose, shape and reflectance as well as the scene lighting that produces a synthesized body that robustly matches the image evidence. Quantitative experiments demonstrate how smooth shading provides powerful constraints on human shape. We further demonstrate a novel application in which we extract 3D human models from archival photographs and paintings.
Cost Behavior- 3 Estimating Costs Managerial Accounting SFCC Fall 2007 Chapter 6 Videos
Lecture - 33 Estimation - II Lecture Series on Software Engineering by Sarda, Prof. Umesh Bellur,Prof.rKJoshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit nptel.iitm.ac.in
Particle filter tracking with adaptive parameters estimation This example shows the performances of a Particle Filter tracker that tracks a remote controlled car driven around some obstacles.
Lecture 4 Water and WasteWater Quality Estimation(Contd) Lectures Series on Water & Waste Water Engineering by Prof C.Venkobachar, Prof. Ligy Philip, Prof. BS Murty Department of Civil Engineering, IIT Madras. For more details on NPTEL visit nptel.iitm.ac.in
swine flu spread estimation The spread of the swine flu, new influenza A(H1N1), is graphically represented using a statistical computational result. The source data are taken from the WHO from 4/23/2009 to 7/6/2009. The underlying probability distribution is a logistic distribution. Music is newly composed adapted to the movie.
Lecture - 37 Spectrum Estimation - Parametric Methods Lecture Series on Probability and Random Variables by Prof. M.Chakraborty, Dept. of Electronics and Electrical Engineering,IIT,Kharagpur.For more Courses visit nptel.iitm.ac.in
Alternating Series Estimation Theorem Alternating Series Estimation Theorem -The basic idea along with a couple of examples are shown. For more free math videos, check out
Lecture - 39 Linear Mean Square Estimation - Wiener (FIR) Lecture Series on Probability and Random Variables by Prof. M.Chakraborty, Dept. of Electronics and Electrical Engineering,IIT,Kharagpur.For more Courses visit nptel.iitm.ac.in
Square One TV: Close Call Game show segment where kids are asked to estimate.
Wilcom Embroidery Digitizing tutorial - Estimating stitch count of a design Watch and learn Wilcom Embroidery Digitizing Software video tutorial - this tutorial will teach you how to prepare an approximate estimate or quote the price of a design by generating the stitch count of a design. Brought to you by
Estimating the Population Mean, Part 2 of 2 Produced by Kent Murdick Instructor of Mathematics University of South Alabama
Project Estimating, the OutSystems way More demos at . This video demonstrates how OutSystems Free Estimates a project.
BidBuilder 12 Estimating Software Professional estimating software, proposal and bidding software for contractors, homebuilders and remodelers for more info visit www.digitalc***.com
Square One TV: Reimy: Estimation After getting kicked off an elevator because of her weight, Reimy uses a song about Estimation to get everybody to dance at a pep rally. Video from Square One TV.
Real Time Face Tracking with pose estimation on tv clips - OPENCV This is my face tracker with pose estimation tested on tv clips. It's developed with OpenCV using CONDENSATION algorithm (Condensation - conditional density propagation for visual tracking M. Isard and A. Blake) and the Haar - Adaboost cascade face detector (Robust Real-time Object Detection P.Viola and M. Jones). It's able to run until 60-70 fps with 320 x 240 images, on a commercial pc (2.2 Ghz, dual core). More details on my site:
Estimation of a Population Proportion, Part 1 of 2 Produced by Kent Murdick Instructor of Mathematics University of South Alabama
Hands-on Estimation and Shapes Activities Hands-on activities from Learning Resources provide a playful math learning experience. For more information, visit:
Estimating Products - - Pre Algebra Help For a complete lesson on estimating products and quotients, go to - 1000+ online math lessons featuring a personal math teacher inside every lesson! In this lesson, students learn to estimate a product or quotient by first rounding each number to one non-zero digit. For example, to estimate 8291 x 27, first round 8291 down to 8000, and round 27 up to 30, then multiply 8000 x 30 to get 240000.
Xtmatix Estimating Demo 1 This demonstration of The Xtmatix Estimating System will show us how easily Xtmatix can estimate labor and material requirements for the painting and VWC in a new classroom wing for the Green Hills ISD. This demo shows the flexibility of The Xtmatix Estimating System.
Ultimate Sniper Instructional - range estimation part 1 Ultimate Sniper Instructional - range estimation.How to estimate range part 1
Ultimate Sniper Instructional - range estimation wind 2
SID THE SCIENCE KID | Estimation Investigation | PBS Kids This investigation is featured in Sid the Science Kid episode Enough With the Seashells. Watch and learn how you too can practice estimating, also known as making your best guess. In this experiment, watch how children make their guesses in counting objects in a jar. How many bouncy balls do you think are in the jar? Watch and find out! Dont miss Sid the Science Kid, the animated preschool series from The Jim Henson Company and KCET on PBS KIDS! (check local listings). For more information visit
"Easy Ace Estimation" This effect can be found in both books, "The Card Magic of Paul Gordon" and "Nocturnal Creations" by British magician, Paul Gordon. [Originally a webcam video originally made for Chris Hestnes back in 2006.]
Project Estimation Methods Josh from - 3-point estimates versus other methods for managing uncertainty in project estimates
Goldenseal - Construction Estimation Software Solution construction-estimating-software- | Turtle Creek's Goldenseal is a very versatile construction estimating software program. It's sure to serve as a tremendous asset to your company. Home Page: Blog
IM2GPS: estimating geographic information from a single image Google Tech Talks August 5, 2008 ABSTRACT Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally on the scale of the entire planet! In this paper, we propose a simple algorithm for estimating a distribution over geographic locations from a single image using a purely data-driven scene matching approach. For this task, we will leverage a dataset of over 6 million GPS-tagged images from the Internet. We represent the estimated image location as a probability distribution over the Earth's surface. We quantitatively evaluate our approach in several geolocation tasks and demonstrate encouraging performance (up to 30 times better than chance). We show that geolocation estimates can provide the basis for numerous other image understanding tasks such as population density estimation, land cover estimation or urban/rural classification. Speaker: James Hays James Hays received his BS in Computer Science from Georgia Institute of Technology in 2003. He has been a Ph.D. student in Carnegie Mellon University's Computer Science Department since 2003 and is advised by Alexei A. Efros. His research interests are in computer vision and computer graphics, focusing on image understanding and manipulation leveraging massive amounts of data. His research has been supported by a National ...
Garmin Forerunner 305 GPS Watch Trainer $149 Forerunner 305 $149 www3
The Query Complexity of Estimating Weighted Averages Google Tech Talk February 4, 2010 ABSTRACT Presented by Tony Wirth. The query complexity of estimating the mean of some [0, 1] variables is well known to the theory community. Inspired by some work by Carterette et al. [SIGIR 2006, pp 26875] on evaluating retrieval systems, and by Moffat and Zobel's new proposal for such evaluation [under review], we decided to examine the query complexity of weighted average calculation. In general, the problem requires the same number of queries as estimating the mean, as the latter is a special case. In fact, there is a matching upper bound for the weighted mean. This result remains true for any set of weights that is the normalized prefix of a divergent series. However, if the weights follow a geometric sequence, a much smaller sample is sufficient. Finally, we investigate power-law sequences of weights and show matching lower and upper bounds. This is joint work with Amit Chakrabarti and Venkatesan Guruswami and Andrew Wirth. Tony Wirth joined the faculty of the University of Melbourne's Computer Science department in 2005. Prior to that, he completed a PhD, as a Gordon Wu Fellow, at Princeton University in 2004 on approximation algorithms for clustering problems. Tony completed his undergraduate degree at the University of Melbourne, majoring in statistics. His research interests also include sequence problems in bioinformatics and adaptive sampling.
Estimation and Problem Solving with Lifesavers Candies video This video shows a teaching experience in a rural NE classroom.
Construction Estimating for Contractors www.construction- Construction estimating is the basis for contractors making money. Without accurate construction estimating contractors will not get jobs or won't make money on the jobs they get. The Contractor's Profit System will help you save time, bid more accurately, and make money job after job.
Pose Estimation Based on Sylvester's Equation - 3D Head Tracking In this system, we introduce a method to jointly track the object motion and estimate pose within the framework of particle filtering. We focus on direct estimation of the 3D pose from a 2D image sequence. Scale-Invariant Feature Transform (SIFT) is used to extract feature points in the images. We show that pose estimation from the corresponding feature points can be formed as a solution to Sylvester's equation. We rely on a solution to Sylvester's equation based on the Kronecker product or Hessenberg-Schur method to solve the equation and determine the pose state. We demonstrate that the classical Singular Value Decomposition (SVD) approach to pose estimation provides a solution to Sylvester's equation in 3D-3D pose estimation. The proposed approach to the solution of Sylvester's equation is therefore equivalent to the classical SVD method for 3D-3D pose estimation, yet it can also be used for pose estimation from 2D image sequences [Reference: Chong Chen, Junlan Yang, Dan Schonfeld, and Magdi Mohamed, "Pose Estimation from Video Sequences Based on Sylvester's Equation", in the IS&T/SPIE 19th Annual Symposium, Electronic Imaging, Science & Technology, Visual Communications and Image Processing (SPIE-VCIP'2007), San Jose, California, January 28 - February 1, 2007].
Estimating Quotients - - Pre Algebra Help For a complete lesson on estimating products and quotients, go to - 1000+ online math lessons featuring a personal math teacher inside every lesson! In this lesson, students learn to estimate a product or quotient by first rounding each number to one non-zero digit. For example, to estimate 8291 x 27, first round 8291 down to 8000, and round 27 up to 30, then multiply 8000 x 30 to get 240000.
Motion Estimation from Image and Inertial Measurements Google TechTalks February 24, 2006 Dennis Strelow Robust motion from monocular image measurements would be an enabling technology for Mars rover, micro air vehicle, and search and rescue robot navigation; and for modeling complex environments from video. While algorithms exist for estimating six degree of freedom motion from monocular image measurements, motion from image measurements suffers from inherent problems. These include sensitivity to incorrect or insufficient image feature tracking; sensitivity to camera modeling and calibration errors; and long-term drift in scenarios with missing observations, ie, where image features enter and leave the field of view. The integration of image...
Bay XP Meeting Part 1: Agile Estimation, Mike Cohn The March 20, 2007 Meeting. Featuring Mike Cohn, Agile Estimation
Estimating the Population Mean, Part 1 of 2 Produced by Kent Murdick Instructor of Mathematics University of South Alabama
Sniper Scope Mil Dot Range Estimation Mil-Dot Reticle Tasco VAR624X42M Savage M10 FXP3 243 Win Howzit? How to use Sniper Mil-Dot Reticle Scope for long range shooting. Tasco VAR624X42M Target / Varmint Mil-Dot Reticle Scope on Savage Model 10 FXP3 243 Winchester Rifle calm day at the Unknown Distance Range. short clip of how to estimate the Target Distance(TD) using the ANY mil-dot reticle scope; mine, Tasco 6-24x 42mm Target / Varmint Mil-Dot Reticle scope, 1/4 MOA adjustment w 14.75 MOA turret to engage long distance target. most rifle round loses a lot of the steam pass +300 yds and takes a deep dive. most BDC scope's turret only turns one revolution or less, NO FUN! utilizing the built-in KY Windage & TN Elevation is futile & waste expensive ammo! Mil Dot Reticle scopes go beyond where other fixed power scopes and BDC scopes leave behind, +1000 yds... most of the Mil-Dot scopes are high priced, too. some really are... because the word SNIPER! Tasco VAR624X42M is THE MOST BIG BANG FOR THE BUCK Mil-Dot reticle scope for a less than $100.00. (period). runner up is the Bushnell Banner 6-24X40MM 71-6244 True Mil-Dot reticle scope, have both... here's the beef. 1. chronograph and get the ammunition data - standard is 1/2" MOA or better @ 100 yds 2. using the free on-line program to get ammunition's trajectory table, JBM... TY 3. measure the width or height of the known TS(target size) using the Mil-Dot reticle 4. calculate the distance using the formula: ((TS in inches) X 27.78) / TS read in Mils = Range in Yards or ((TS in inches) X 25.4) / TS read in Mils = Range ...
Bay XP Meeting Part 2: Agile Estimation, Mike Cohn Part 2 of the March 20, 2007 meeting featuring Mike Cohn, Agile Estimation