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CS3483 Multimodal Interface Design
Creation date：2024-07-29 18:15:03
Belonging category：计算机computer science
Tag CS3483
Multimodal Interface Design
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CS3483 Multimodal Interface Design
Assignment
Overview
In the assignment, you are required to use p5.js and ml5.js to develop an interface for viewing
and interacting with an image. These actions are performed by using face detection and
keyboard operations.
Detailed Requirement
1. Initial Setup
Create a display window.
Load and display an image in the window.
An instant view of the camera should be displayed next to the image and has the same size
as the image.
2. Face detection
A rectangle should be drawn on the camera view to indicate the position and size of the
detected face. When you move your face in front of the camera, the rectangle should keep
following your face. A corresponding position indicator should also be drawn on the image
to follow the movement of your face.
3. Viewing the image
When the ‘v’ key is pressed and released, the interface should enter the view image mode.
In this mode, a plain background with a color of your choice should be displayed. When
your face is moving in the camera view, a rectangular area around the position indicator on
the image should display the corresponding region from the image. When the position
indicator moves away, the background should be restored.
4. Modifying the image
When the ‘m’ key is pressed and released, the interface should enter the modify image
mode. In this mode, the original image should be displayed. When your face is moving in
the camera view, a small circle should be drawn at the position indicator on the image. The
circle should be filled with the pixel color at the location of the position indicator. When the
position indicator moves away, the small circle should be retained. You may use random
values for the diameter of the circle and the degree of opacity of the color in the circle.
5. Finding the faces
When the ‘f’ key is pressed and released, the interface should enter the find faces mode. In
this mode, the original image should be displayed. When your face is moving across the
camera view and the corresponding position indicator is close to a face on the image, the
face on the image should be displayed at a slightly larger size at the same position. When
the position indicator moves away, the original size of the face should be restored.
6. Exiting the view image/modify image/find faces mode
When the ‘e’ key is pressed and released, the interface should exit from the view
image/modify image/find faces mode, and the original image should be re-displayed.
Assignment Submission
 Program (40%)
You should submit your p5.js program and the associated image file.
 Report (60%)
You should summarize your work in the form of a report which should include:
1. A description of the design of the different sections of your program.
2. Screen captures of the output.
3. Limitations and possible improvements of the program.
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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