Lesson 5 Computer Animation - Skinning
| Institution | University |
| Course | BSc. Information Tec... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | No pages found |
| File Size | 223.91 KB |
| Views | 7061 |
| Downloads | 0 |
| Price: |
Buy Now
|
Description
Skinning is the process of attaching a renderable skin to an underlying articulated skeleton. There are several approaches to skinning with varying degrees
of realism and complexity. Our main focus will be on the smooth skinning
algorithm, which is both fast and reasonably effective, and has been used extensively in real time and pre-rendered animation. The smooth skinning algorithm
goes by many other names in the literature, such as blended skinning, multimatrix skinning, linear blend skinning, skeletal subspace deformation (SSD),
and sometimes just skinning.
This chapter will explain the smooth skinning algorithm in detail and provide
additional information about the offline creation and binding process. Binding
refers to the initial attachment of the skin to the underlying skeleton and assigning any necessary information to the vertices.
Smooth skinning, while fast and straightforward, does have its limitations,
and so alternative techniques are also briefly introduced and referenced, including a variety of deformation techniques and some more elaborate anatomically
based approaches that simulate muscle and skin deformations
Below is the document preview.
LESSON 4: MEASURES OF DISPERSION
Trending!
The measures of central tendency are not sufficient measures to reveal the shape of the distribution of data set. The measures that show the spread of a data set are called the measures of dispersion. The main measures of dispersion are range, inter quartile range, standard deviation, variance and coefficient of variation. In this lesson we will discuss these measures of dispersion.
9 Pages
6107 Views
0 Downloads
210.71 KB
LESSON 1: DEFINITION OF STATISTICS, DATA COLLECTION AND DATA PRESENTATION TECHNIQUES
Trending!
Statistics is the science of data. This involves collecting, classifying, summarizing,
organizing, analyzing, and interpreting numerical information.
7 Pages
8311 Views
0 Downloads
152.45 KB
LESSON 2: MEASURES OF CENTRAL TENDENCY
Trending!
One of main objectives of statistical analysis is to obtain one single value that describes the characteristic of the entire mass of unwieldy data. Such a value is called the central value or average value. In this lesson we will consider some of central values which are commonly used.
8 Pages
6220 Views
0 Downloads
213.46 KB
LESSON 3: MEASURES OF CENTRAL TENDENCY cont..
Trending!
In this lesson we will discuss the other measures of location or measures of central tendency namely, geometric mean, harmonic mean, median and mode of given data.
10 Pages
7055 Views
0 Downloads
246.31 KB
THEORIES OF LANGUAGE ACQUISITION
Trending!
Over the last fifty years, several theories have been put forward to explain the process by which children learn to understand and speak a language. They can be summarised as follows:
4 Pages
7903 Views
0 Downloads
44.66 KB
SZL 105: LABORATORY METHODS AND TECHNIQUES IN ZOOLOGY
Trending!
A laboratory is a closed or isolated environment where scientific experiments and procedures are carried out. Laboratory studies are applied in all areas of science namely. Physics, chemistry,biology, agriculture, health, environment, geology, mining among others.
31 Pages
8392 Views
11 Downloads
681.05 KB
SST 305: Theory of Estimation Notes
Trending!
The objective of statistics is to make an inference about a population based on information contained in a sample. Most statistical inference procedures involve either estimation or hypothesis testing. This course looks at estimation.
41 Pages
6410 Views
6 Downloads
3.41 MB
SMA 335: Ordinary Differential Equation 1
Trending!
The subject of differential equations constitutes a very important and useful branch of
modern m mathematics. In this lesson we sh all consider some definition of ordinary
differential equations.
156 Pages
7301 Views
1 Downloads
2.32 MB
LESSON 7: REGRESSION AND CORRELATION ANALYSIS
Trending!
In this lesson we will discuss regression and correlation. Correlation analysis deals with the association between two or more variables; while regression analysis attempts to establish the nature of the relationship between variables.
11 Pages
5734 Views
1 Downloads
271.03 KB
LESSON 6: SKEWNESS AND KURTOSIS
Trending!
Skewness refers to lack of symmetry. A skewed distribution is a frequency distribution that is asymmetric (not symmetric). When the longer tail of a distribution extends to the right, it is said to be skewed to the right and when the longer tail of a distribution extends to the left, it said to be skewed to the left.
9 Pages
6161 Views
0 Downloads
257.5 KB