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CS24320 Assignment
Creation date：2024-05-08 15:33:42
Belonging category：计算机computer science
Tag CS24320
Assignment

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CS24320

Assignment
My happy place!
WARNING! Read the complete handout before, during, and after you finalize your project,
to make sure you don’t miss any requirement. The same applies for the report template.
This assignment contributes 60% to the module mark. You need to submit the following:
• Report - to TuntItIn
• Video - uploaded to YouTube with a link to it in the report
• Project files - everything needed to produce your video in a zip file to Blackboard
The deadline to submit all the materials listed above is the 13th of May 2022.
1 INTRODUCTION
In this project you are going to tell us about "your happy place" in a 3D world you will create in
Blender. There are certain aspects that you need to complete yourself using GIMP and Blender,
and for other aspects you are free to use assets (3D models, textures, sounds, etc) that you have
acquired from elsewhere. You need to make it clear in the report which parts you have done
yourself, and for any 3rd party assets you must acknowledge the source (with a citation) and it
is your responsibility to ensure you have permission to use those assets.
There are 3 components to the submission:
• your animated video (to YouTube),
• your project files (to Blackboard), and
• a report (to TurnItIn).
These must all be submitted. The marking will be based on your report and by watching your
video, we will only check your project files to check that your report is accurate and honest. If
you fail to mention something in your report, or don’t make it clear what you have done, you
will not get marks for it.
As inspiration, have a look at a few videos produced last year. Those are only a few examples of
videos that excelled at one or more aspects. Note that the specifications for those videos were
not exactly the same as this year’s. These are just for inspiration. You can find the links on
Blackboard.
2 IMAGE PROCESSING(20%)
You will need to create an image that will later be integrated into your 3D scene. It should
be based on an image of your face, from which you should develop a piece of art that will be
included in your scene. The “artistic” version of the image should be an “Andy Warhol” style
version of you, with at least 4 repetitions of the original face image, each undergoing a different
Department of Computer Science Tiddeman/Miles/Han – 2021/2022
transformation using GIMP filters and colour space changes. The particular effects are up to
you, but you should use GIMP operations (cropping, moving, scaling, layers, filters, colour tools)
to create the image. An example is shown in Figure 1. You will need to explain what you have
done and why, in your report. Save your GIMP project file and export the image for use in
Blender. Remember to include your GIMP project in your submission.
Figure 1: My attempt at an “Andy Warhol” style rendering of me.
The assessment of the image processing (only) will consider the following:
Grade Mark Objectives
100%
First 70% + Demonstrating excellent use of GIMP to achieve the
desired effects, including use of advanced techniques or expert usage
(e.g. layers, masking, and blurring to achieve a fake depth of focus effect)
II(1) 60%-69% Demonstrates very good use of GIMP to achieve the
desired effects. May include some more advanced techniques, or
more basic techniques but used to very good effect.
II(2) 50%-59% Demonstrates generally good use of GIMP. May have some minor problems
or show lack of care in application.
III 40%-49% Demonstrates acceptable use of GIMP, but has several smaller problems
or a major problem
FAIL 30%-39% An attempt that hit some serious problems and was unsuccessful.
FAIL < 30% No attempt or a minimal attempt with serious problems.
3 3D GRAPHICS (modelling and animation) (40%)
Character modelling You are required to make a model of yourself using Blender modelling
tools. The model does not need to be photo realistic, e.g. it could be a low-poly character, but
it should be recognisably of you. You should also rig the character with an armature, ready for
CS24320 My happy place! Page 2 of 8
animation - see Figure 2 for an example. Adding constraints (e.g. on joint angles) and inverse
kinematics to your rig are optional, but will probably make the animation easier later on.
Figure 2: “Creepy me” showing vertex colours and with armature.
Scene building Create a scene for your animation. You must include the character created in
the previous step, and also the “Andy Warhol” style image should be used as a texture map on an
object and displayed prominently in your scene (e.g. as a portrait on the wall, on a t-shirt your
character is wearing, or on a billboard). Add any other items you wish to include - preferably
these should tell us something about your "happy place" e.g. a favourite hobby, activity or an
actual place. You don’t need to model these objects yourself, but you can if you wish, and
remember to acknowledge / cite any third party assets used in your report (failure to do so could
result in a UAP). Add suitable lamps and lighting to your scene.
Animation Create a set of short (totalling a minimum of 60 seconds and up to 2 minutes)
animated sequences using Blender to tell us something about your happy place - this could be
a real place or a more metaphysical interpretation, such as an activity or a state of mind. The
animations must include animation of the rigged character and could include animation of other
aspects such as camera motion, lighting changes, movement of other objects (including using
physics), etc.
Your animation must be in 3D and, therefore, cannot use tools such as the Grease Pencil.
You should create at least 3 animation clips in Blender, which you will later combine into a
single video using the video editing tools to produce your final animated story. The clips could
involve the same or different models, but should be distinct clips e.g. by including a change of
viewpoint, lighting or scene.
This animation must be shared on YouTube and a link to it provided (more details
later).
The assessment of the 3D graphics modelling and animation part (only) will consider the follow-
ing:
CS24320 My happy place! Page 3 of 8
Grade/
Mark
Modelling
15%
Scene
15%
Techniques for
Story 20%
Animation
20%
First
> 70%
Creation of
complex meshes,
expert use of
mesh editing tools
and advanced
modelling
techniques.
Expert use of
lamps, lighting,
materials, and
textures to
support the scene.
Expert use of
advanced
techniques (e.g.
physics, IK, Pose
library) to
contribute to the
story.
Rendered as a
video using
Blender;
demonstrating
smooth, complex,
and story-driven
animation of
scene objects.
II(1)
60− 69%
Creation of
complex meshes,
use of mesh
editing tools and
some advanced
modelling
techniques.
Excellent use of
lamps, lighting,
materials, and
textures to
support the scene.
Excellent use of
advanced
techniques (e.g.
physics, IK, Pose
library) to
contribute to the
story.
Rendered as a
video using
Blender;
demonstrating
smooth,
story-driven
animation of
scene objects.
II(2)
50− 59%
Creation of
meshes, basic use
of mesh editing
tools and a
variety of
modelling
techniques.
Considered use of
lamps, lighting,
materials, and
textures to
support the scene.
Good use of
techniques which
contribute to the
story.
Rendered as a
video using
Blender;
demonstrating an
animated story.
III
40− 49%
Creation of
primitive meshes;
basic use of mesh
editing tools.
Use of lamps,
materials,
textures.
Use of techniques
appropriate to
the story.
Rendered as a
video using
Blender.
FAIL
35− 39%
Flawed understanding of the project requirements, and/or very incomplete sub-
mission.
FAIL
< 35%
No animated sequence submitted, or very severely flawed understanding of the
project requirements.
The “modelling”, “scene”, “techniques” and “animation” items add up to 70%. The remaining
30% of the mark for this section will be based on ‘flair’, including some or all of the following:
• how polished and professional-looking the animation is;
• whether novel techniques were used;
• whether it is clear that a great deal of thought and care has gone into producing the output;
• whether the animation is particularly impressive in some way.
CS24320 My happy place! Page 4 of 8
4 VIDEO EDITING (20%)
Combine the video clips created in the previous part into a single a short video (1-3 minutes,
including the animation) by using the Blender Sequencer and/or Compositor. The video should
include at least 2 different transitions between your clips, and at least one video effect to illus-
trate your ability to use (some or all of) transitions (fades/wipes etc.), transforms (e.g. scaling),
chroma-keying, and compositing (the node editor) techniques demonstrated in lectures. The final
video could also include some live action elements if you wish (e.g. combined with the animation
using chroma-keying). You must also add titles and credits to your final video for a professional
look.
The assessment of the video (only) will consider the following:
Grade Mark Objectives
100%
First 70% + Well polished video sequence illustrating video sequencing and
appropriate transition effects. A novel use of the sequence editor
(this could include chroma-key or an overlay effect) to illustrate
a point.
II(1) 60%-69% A polished video illustrating video sequence with transition
effects. Effective use of the Blender video editor to add
some appropriate cuts, fades or other transition effects to video.
II(2) 50%-59% A reasonable sequence of videos. Evidence of use of transition
or other single effects.
III 40%-49% Ability to place more than one video/image in a single stream.
Demonstrate use of Blender sequence editor to place
videos/images in a stream.
FAIL 35%-39% A video sequence.
FAIL < 35% No video sequence.
For a first class grade you must demonstrate both an ability to use the techniques demonstrated
in class and an ability adapt these techniques to your own needs.
This video presentation must be shared on YouTube and a link to it provided (more
details below).
4.1 Details for videos’ submission
The final video will have to be uploaded to YouTube and must remain there for 1 year. If
any of the videos is removed before that time, your mark will be removed too.
In case you don’t want to make the video public, you can choose the option unlisted so that
only those with the link are able to see it. Be sure that the video is accessible to those that have
a link to it, by accessing it without being logged in with your Google account, or by asking a
friend to access to it from their own computer. Check if the uploaded result is exactly as you
expect, in terms of sequence, image and sound. In the report you must explicitly indicate
the link to the video.
Below you can see some specifications required for your final video:
CS24320 My happy place! Page 5 of 8
Property Value
Movie Width (pixels) 1,920
Movie Height (pixels) 1,080
Scaling 100%
File Format MPEG
Video Format H.264
Audio Format MP4
If you use any live video or audio, be careful to match the frame-rate of your animation to the
frame-rate of the video produced by the camera you’ll use to record parts of your presentation
video. As a suggestion, start by checking the frame-rate of your camera and, then, set your ani-
mation to that same frame-rate before animating your scene. If this is not done in advance, you’ll
need to convert between frame-rates, and you might encounter issues with voice synchronization.
IMPORTANT! Rendering an animation can take a long time, and uploading the videos may
take several hours. Therefore, try to have everything ready for rendering well before the submis-
sion deadline. Also, there is no penalty for using the reasonably quick Eevee renderer rather than
the computationally expensive Cycles renderer. Note that, since you’ll need to include the link
to the video in the report, you must upload the videos before finishing the report and submitting
it. Late submissions will be penalized by 100%. You have been warned!
5 REPORT (20%)
A report must be produced to support your work. It must clearly explain what your project
consists of, as well as the techniques involved in the development of your project.
Clearly identify the techniques used in creating the animation and video. Highlight and explain
new features that you have discovered on your own and decided to use in the project, and you
believe are relevant. Be as specific as possible when listing the techniques you have
used. Use screenshots of your project to illustrate the different stages of development and final
product.
Please provide a brief critical reflection on your assignment. Read the marking schema provided
and rate your own work on the appropriate scales. In addition you should cover aspects such as
how you think you did, and what you would do differently if you did it all again. Note that you
are required to mark your own project in this section as part of your self-analysis. Although your
proposed marks won’t have any direct weight on your final grade, your honesty and capacity of
self-analysis will. Present one mark for each of the 4 assessed components.
In the report you must include a link to the video, which will be uploaded to YouTube.
The report will have a maximum of 8 pages, with figures included. The file format of the
submitted report must be PDF. You must follow the provided template. The template
can be found in Blackboard and provides more details about each section of the report.
The assessment of the report will consider the following points:
CS24320 My happy place! Page 6 of 8
Grammatical errors; Spelling mistakes; Respects template;
Quality of writing (20%) Organization of report; Appropriate figures/diagrams;
Appropriate formatting; Clearness of text.
Story plot (20%) Originality; Level of engagement.
Description of methodology Level of detail of the explanation of the techniques;
(30%) How it demonstrates understanding of the topics.
Identification of the strengths of the project;
Self-analysis (30%) Identification of the weaknesses of the project;
Self-assigned marks for each requested component.
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COMP2013 IB9X60 INVP001 EMATM0051 COMP220 BLAW1002 E20 TCP8001 ECON61001 EART40005 ECONM1022 MATH 365 MATH 367 ELEC6218 COMP 5812M EDUC 5061M ELEC ENG 1101 equation MATH6174 ST334 C4 EC9570 A33648 EBUS603 ECON47815 stata WFMS0001 PEM102 INF6060 ionically ELECTRICAL MATH 375 MMW 12 MKTG860 ECON60401 ALY6010 SOST20131 Introduction COM3524 MME2 GGR305 JNB 538 EECS101 COMM5030 IEOR E4601 2B CSC336 EN2315 LAW 432 CSC263 MATH2001 OLET1143 CSCB63 SIT772 COMM1170 STAT 441 MS930 INFT3050 GLBH0030 Stat 120B MAST10007 MGEC61 Machine GGR 252H1S ECON7030 Financial Marketing MGMT30019 ECON5120 SDSC 8009 CSC165H1S DSCI 551 3081W ACM41000 ECA 5304 MATH 1064 ECSE444 DATA 604 COMP7105 MIE1615 ECON4004 ENV200H1S EC481 MKT 306 EC1B1 MATH08051 ALY6140 CS260C CSE30 MSIN0226 CS4103 CSC3064 AM16 COMP11212 CSE4101 PSTAT 174 Math 380W CNT 5106C STAT 310 FIN2028 CS5014 STAT 425 COMP 4102A ELEC2140 MANF9544 QRM 9 QRM 8 ECON 457 COMPSCI 4091 MATH 523 DNSC-4211 PEAS 6000 MSIN0180 COMP2119 A2A HT 2022 IB93F0 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270M CIS 3207 Programs CSCI 2132 CS270 CSE-381 COMP3230A CIS 212 CSI 333 FINM 326 FINM-36702 Introduction to Software Analysis EEE102 GNG1106 ECS 60 CS 161 CSCI851 CSE1222 EDPS0249 TCHR5003 ANTA02 BBUS1SBY SOSC 1140 MDIA2091 FINS3641 INSY 661 ITEC3040 CPSC 481 computer DEE3519 COMP304 CSE536 Microtheory OFFICE 280 CIVE50003 COSC2673 ECS784U CMPSC/MATH 455 AMA 505 CSE 158 BUS1040 FIT3179 FIT5202 Math 104A Math 111A MBUS107 COMPSCI 761 COMP3710 COMPSCI 316 COMP559 COMP557 CP1 1902 COMP 310 ECED 3403 COMPX523 AGCM 3103 EMET 7001 ENGR3821 CISC 124 IPC comp20005 CS 323 CS105 STAT 326 MATH4007 CS4551 COMP1000 ACIT 4640 ENVX3002 CS2034 FC712 algorithms CSCI 4155 CSI4142 POL 850 MATH20811 2B03 CSCI803 Economies COMP 2016 Architect TRADE INFO1110 FIT1043 networks Robotics ICS 31 ECEC-301 FIT2099 CS 3640 CSE1010 Computational COMP1001 CSE 231 CS10 FIT5166 CSE 400 CSCI561 Math 350 CO-496 ENGG6400 CSCI 1133 COMP3055 MATH 819 CSE 6363 CIS 555 CS4420 COMP0037 ECS 140A Spanning Tree Protocol network 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EBU5376 STAT6118 ECON 20110 COMU7000 average acceleration BUSI4412 BFF3121 BIT233 ECMM462 ETC3430 DESN2348 INTE2584 ENME502 MA3XJ INTE2627 MA2815 MA3AM L0101 Math 3MB3 CPCCBC4004 EEEM061 0502E220 APPLIED 6SSMN310 ENV 3310 PM2PCOL3 CONS6201 MATH502 FIT5003 EEEN313 MATH3001 MECH3460 ECON30009 COSC1252 Assembler COMP 3023 ENGG7601 COMP20005 COMP SCI 1103 ICSI 402 INF2C CS320 COMPSCI7064 ECE 3220 PROGRAMMAMING MIPS Computer Science 2413 AM3611 MSOA TE2101 FFT CMPSC-121 CSE 109 COMP SCI 7064 HCI CMP-5013A CCN2042 COMP3400 EEEN30052 CO4215 EE101 KIT107 CSE 421 CSE521 MCD4720 EECS 280 MIT 403 GRPC VG101 APiE EECE 1080C FIT3143 CSE 325 ISOM 3029 CS3307 State SIT255 Engineering MQF Modelling ACX3150 SIA322 ACCT90004 COMU7201 MGMT90018 WRIT1000 COMP3702 BISM1201 COMP7505 IDEA9106 CSE3SMT BFC5926 BFC5280 BFC5935 QBUS3330 ECON3700 IFN521 ECON2121 COSC2626 MA413 DDES9903 ENGG1300 COMP9337 CO2201 ACCT2002 ICM289 MMM054 MSBA-204 DIGM707 CSC2250 Econ312 EVAT python CAN404 LUBS2840 CSCI-GA.2250 COMSM0093 COMP281 AFM 333 IBUS1001 CP2501 Math 105A VE320 TEC101 SOCY2166 COM240 EFIM20033 ENGI4467 EFIM20034 EC 979 BE432 7EJ502 CSSE6400 COMP90025 Econ 312 ENG2031 ECO0006 EXERSCI 207 CAN209 ECO 137W FT312 ECO 2199 MATH32052 BDW4213 APS 360 SAS 6 CHME0017 PO92Q Economics 01AV MATH39512 MATH 5486 COMP8620 ISE102 ECON235 ECON 206 FI 345 PHAY0020 MATH0099 MATH0085 EFB106 PHY 134 MAE115 circuits Chemistry CSE12 MATH-UA 233 PHAS0038 COMP2140 CONMGNT 7049 COMP151101 ECON 485 ACX5903 ENGN6536 ARCH1162 Law PHAS0042 CCF1C03 MATH 351 Phys 139 AG942 MGT001371 APH106 ECON1051 MA4AM MA3Z7 NUMBER THEORY REST0006 SESS0026 STAT0023 TABL 2741 CMP4008Y EFIM10015 Acct 560 PSYC735 GEOG 5 ACCT3104 CSEC5616 PHIL1012 ITLS6111 ECON8022 5CCM226A compX123 MA4XJ R001 EWB LLP120 COMP643 ENG 103 ECON 23950 ACCT 207 FINC 616 Bio99 Math 137A Psychology BCPM0054 MATH20212 EC3450 CENV6141 PSY 205 CE335 CS365 Calculus ACSD INFT6800 MCIT INFO6030 PHYS 111LV H63EEJ ECON2151 ENGI 2181 MTRX1701 PLIT08009 CS240 Math 270 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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