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COMP3170 Assignment 1 Sailing
Creation date：2024-05-02 08:51:41
Belonging category：计算机computer science
Assignment 1 Sailing

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COMP3170

Assignment 1 Sailing
Topics covered:
• Drawing 2D meshes
• 2D transformations: rotation, translation, scale
• Scene graph
• 2D camera: view and projection matrices, aspect
• Viewpoint and Scissor Rectangle
Task Description
Your task is to implement a simple ocean scene with a landscape of islands and palm trees,
and a sailing ship controlled using the WASD keys.

Figure 1: An example screenshot from the assignment.
Framework
For this assignment, you will need the Eclipse project containing the JOGL and JOML
libraries that we have been using in the workshop classes. See the week 1 workshop for
instructions to download and install this project.


Clone this framework into your own Github account.

It contains the files:
• Assignment1.java – the main class implementing a JFrame and a GLEventListener.
• SceneObject.java – a class that implements a scene graph. Objects in the scene should
extend this class.
• Ship.java – a class that draws the ship (without sails).
• vertex.glsl / fragment.glsl – a basic, simple shader.
To complete the assignment, you will need to edit these files and add further classes of your
own.

The SceneObject class implements a simple scene graph. You should extend this class to
implement objects in your scene, as illustrated by the Ship class. You should not need to
change the code in this class. (We will be working with this class in the Week 5 prac, so refer
to the prac for more details and examples.)
Components
You are required to complete each of the components below. Each component contributes
a percentage towards your Completeness mark, as described below.

Note: In the spec a lot of specific numbers (e.g. the size and shape of islands, trees, sails,
etc) are not specified. You are free to choose whatever values you feel appropriate for these
as long as they illustrate the behaviour required. However, remember to use named
constants in your code (with comment to indicate units) to allow these values to be easily
modified. Clarity marks will be deducted for using ‘magic numbers’ (i.e., embedded
numerical constant given without explanation).

Islands (10%)
An island is a green, irregular polygon with vertices lying on a circle of radius 1, as shown
below. The angle between successive vertices (measured at the centre of the circle)
should always be less than 90 degrees.


Figure 2: An island is an irregular polygon with vertices on the unit circle.


Figure 3: Some random islands

Ocean (10%)
The ocean map is a blue square 100 units tall and wide. It should contain ten islands with
random positions and sizes.

Figure 4: An ocean with ten random islands.

Palm Trees (10%)
A palm tree consists of a vertical trunk and four leaves, as shown below. Three palm trees
should be randomly positioned on each island. Palm trees should always point upwards and
have the same size regardless of the size of the island they are on.


Figure 5: Three palm trees on an island.

Ship (10%)
The hull of the ship has already been implemented for you. The ship should have two sails,
one at the front of the ship and one at the middle of the ship, as shown below. The two sails
should be different sizes.


Figure 6: Ship with two sails.

Vertex colours (5%)
Extend the shaders to add vertex colours and implement vertex colours for the island, palm
trees and ship.

Figure 7: Island uses vertex colouring to make the centre a lighter shade than the edges.
Palm tree leaves are also vertex coloured.

World camera (5%)
The program should implement two camera modes: a world camera and a ship camera.
Pressing space should switch between the two.

In the default view, the world camera should show the entire ocean and all the islands.

World camera – resizing (10%)
If the window is not square, the shortest axis should fit the size of the world, and the world
should be centred in the window, as shown below. Space outside the limits of the world
should be black.

Figure 8: The world camera shows the entire world, centred in the window.
If the window is too wide, black bars are shown on the left & right.
Figure 9: If the window is too tall, black bars are shown on the top & bottom.

Ship camera (10%)
The ship camera shows a zoomed-in area of the world around the ship and follows the ship
so it is always in the centre of the scene. The ship camera should not rotate with the ship, so
it is always oriented the same way regardless of which direction the ship is heading.


Figure 10: The ship camera is zoomed in on the ship's position
but stays oriented to the world axes regardless of the ship's rotation.

Ship Camera – resizing (10%)
In the ship camera view, if the window is resized, more or less of the world can be revealed,
but the size of the ship should remain the same, as shown below.


Figure 11: Resizing the window reveals more of the world without changing the size of the ship.
Keyboard control (10%)
The ship is controlled using the WASD keys:
• W and S move the ship forward and backwards in the direction it is currently facing.
• A and D rotate the ship anticlockwise and clockwise respectively.
Note: The ship can move anywhere on (or outside) the map. You do not need to implement
collisions with islands.

Sail movement (10%)
When the ship is turning the sails should rotate smoothly relative to the ship in the direction
of the turn, to a maximum of 30 degrees, as shown below

Figure 12: Sails turn 30° right and left when ship turns clockwise/anticlockwise.
When the ship is moving forwards the sails expand, smoothly increasing in size in the
forwards direction, to a maximum value.

Figure 13: Ship stationary (left) and moving forwards (right).
Notice how the sails have increased in size in the second picture.

Documentation
In addition to your code, you should submit a PDF report following the Word template
provided. The report should include:
• A completed table indicating the features you have attempted.
• An illustration of the scene graph used in your game.
• Illustrations of all the meshes used in your game, drawn to scale in model coordinates,
including:
o the origin
o the x and y axes
o the coordinates of each vertex
o the triangles that make the mesh
• Diagrams illustrating the world and ship camera calculations, including:
o The viewport rectangle
o The scissor rectangle
o The mapping from view (camera centric) coordinates to NDC
o The mapping from NDC to viewport (pixel) coordinates
Show separate examples for when the window has aspects greater than and less than 1.
Submission
Your Java project will be submitted using Github Classroom. Your most recent commit to
the repository before the assignment deadline will be marked.

Your report will be submitted using iLearn as a PDF.

No late submissions will be accepted, except in the case of special consideration (which
requires a formal application). Last minute problems with Git are not an excuse for late
submission. Remember to commit and push your work regularly as you go.

Marks
Your marks will be calculated using three components (according to the rubric below):
• Correctness: Whether your code is correctly implemented.
• Clarity: Whether your code is easy to understand.
• Documentation: Whether your report contains all the required elements.
This mark will be scaled based on a Completeness mark, which refers to the total value of
the components you have attempted. Each component is worth between 5% and 10%, as
detailed in the Report Template.

Your final mark will be determined using the formula:

SQRT(Completeness * (60% * Correctness + 20% * Clarity + 20% * Documentation))

So, for example if you attempt 80% of the features above, with perfect correctness (100%),
slightly sloppy code (70%) and some minor sloppiness in the document (80%), your final
mark would be:

SQRT(80% * (60% * 100% + 20% * 70% + 20% * 80%))
= SQRT(80% * (60% + 14% + 16%)
= SQRT(80% * 90%)
= 84.9%

On the other hand, if you only attempt 50% of the features above, to the same level of
quality (90%) your final mark would be:

SQRT(50% * 90%) = 67.1%

Rubric

Grade Correctness Clarity Documentation
HD
(100%)
Excellent work. Code is free
from any apparent errors.
Problems are solved in a
suitable fashion. Contains
no irrelevant code.
Good consistent style. Well
structured & commented
code. Appropriate division
into classes and methods,
to make implementation
clear.
All sections are complete
and accurately represent
the code. All diagrams are
neat, clear, and well
annotated.
D
(80%)
Very good work. Code has
minor errors which do not
significantly affect
performance. Contains no
irrelevant code.
Code is readable with no
significant code-smell. Code
architecture is adequate
but could be improved.
All sections attempted with
minor sloppiness or missing
detail. No discrepancies
between documentation
and code.
CR
(70%)
Good work. Code has one
or two minor errors that
affect performance.
Problems may be solved in
ways that are convoluted or
otherwise show lack of
understanding. Contains
some copied code that is
not relevant to the
problem.
Code is readable but has
some code-smell that
needs to be addressed.
Code architecture is
adequate but could be
improved.

P
(60%)
Poor. Code is functional but
contains major flaws.
Contains large passages of
copied code that are not
relevant to the problem.
Significant issues with code
quality. Inconsistent
application of style. Poor
readability with code-smell
issues. Code architecture
could be improved.
All sections attempted with
significant sloppiness and
missing detail. Minor
discrepancies between
documentation and code.
F
(40%)
Code compiles and runs,
but major elements are not
functional.
Significant issues with code
quality. Inconsistent
application of style. Poor
readability with code-smell
issues. Messy code
architecture with significant
encapsulation violations.
Some aspects incomplete.
Diagrams unclear and badly
drawn. Does not make use
of graph paper. Coordinate
systems not properly
annotated. Major
discrepancies between
documentation and code.
0% Code does not compile.
Major issues with code
quality. Major readability
problems and code smell
throughout. Messy code
architecture with significant
encapsulation violations.
No document submitted or
just the template with no
content.
Case category
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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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