This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
Run following Matlab commands to make sure the installation worked correctly.
Unlike query function, filterdb does not load all waveforms to memory but returns filtered database object. This is useful when the resulting set of the query is too big to fit in memory. Consequent calls to read function can be made to read content of this filtered database object.
Two scripts are included here.
1. convsys.m - combines the state space representation of two systems connected in series.
[Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2)
This algorithm gives the convolution of two state space representations
| A1 B1 | | A2 B2 |
u ==> | | ==> | | ==> y
| C1 D1 | | C2 D2 |
The algorithm also accepts state space objects as inputs and gives out a state space object as output.
2. sysfeedbk.m
[Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2)
Gives the closed loop state space representation for two systems connected with negative feedback in the following manner.
| A1 B1 |
u ==> | | ==> y
+ o | C1 D1 | |
- | |
| | A2 B2 | |
|= | |= |
| C2 D2 |
The zip file also contains checkcompatibility.m , which checks the compatibility of matrix dimensions in the system and cleanss.m which can be used to clean a state space representation.
Rotation tool, totates a single image contained in HANDLE.HANDLE can be a handle to figure, axes, or image object.
This GUI is a pure imitation of ROTATEGUI from Birju Patel and uses some code from that function. However, it has extended functionalities and was re-writen using R13 syntax. Which means that it can be compiled with the V3.x compiler.
Learn how to leverage a key Java technology used to access
relational data from Java programs, in an Oracle environment.
Author Donald Bales begins by teaching you the mysteries of
establishing database connections, and how to issue SQL queries
and get results back. You ll move on to advanced topics such as
streaming large objects, calling PL/procedures, and working
with Oracle9i s object-oriented features, then finish with a look at
transactions, concurrency management, and performance