We are trying to find the co-ordinates which comes in between the area defined by 4 points on the map that creates a rectangle. Specifically, we need to find all the co-ordinates of the area of the map that is in the mobile screen view at any time.
Response will be highly appreciated.
Thanks
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I have a question about if something is possible using Tableau.
I already have a coastline plotted on one map using custom LatLon coordinates and I would like to take a user inputted Lat and Lon and plot a circle around it with let's say radius 10 and display it on the same map.
I was using this tutorial before to plot a circle:
https://www.crowdanalytix.com/communityBlog/customers-within-n-miles-radius-analysis-using-tableau
But I don't think the same approach can work with user-inputted fields because then it would require restructuring the data..
Okay, a (much smarter LOL) coworker helped me figure this out....
So my goal was to graph distance band (like a distance of 5 miles around a coast) . In order to do this we can use the distance between two coastline points since they are connected by a line, not a curve...From there we can find the perpendicular point a certain distance away and connect those points. Much easier than my circle idea...
So I'm trying to find the location between point A & B. Point A will be my phone and point be will be a dot on a small object. Point A is a point in the middle of my phone with an X/Y axis. Using the front facing camera on an iPhone, point B attached to the small object, moves into the cameras view. Point B will never be more than a foot away from point A at any time.
Is it possible to determine the exact coordinates of point B in relation to point A's X/Y axis (Within a millimeter or so)? Would a signal need to be sent between the two points, or would the camera be able to pick up point B and determine its coordinates on point A's X/Y axis?
I've attached an image below to hopefully explain what I am trying to describe a little better.
The coordinates of two points are A(-6, 0) and B(10, 4). Find the coordinates of the point C on the y-axis such that AC=BC.
I have a representation of 3D object as a a) cloud point and b) triangle mesh
My goal is to rotate this object and than obtain a surface which is visible from one specific view.
Then I would remove the points which are not visible from a given view. Does anyone know how to do this in MATLAB. What method is the fastest?
The file with the point cloud contains the coordinates of each point, and information about the color stored in three RGB channels.
First line:
`-35.4717 88.8637 -99.3782 97 78 46`
I will be grateful for any help.
One possible way would be to re-implement the pipeline of a graphic processor.
Transform your object and project all triangles into an image plane. In this image plane, the distances of each part of the triangle can be stored.
With that information you can check if a vertex is further away than the one you have painted into the image plane.
I would like to know is there any possible way to get the distance between two points which are closely located by using gyroscope.I am using camera to point two points in the screen on the floor .I would like to get the distance between two points .Is there any method to get the same
I am currently doing a project called eye controlled cursor using MATLAB.
I have few stages before I extract out the center of the iris (which can be considered as a pupil location). face detetcion - > eye detection -- > iris detection -->And finally i have obtained the center of the iris as show in the figure.
Now, I am trying to map this position (X,Y) to my computer screen pixel (1366 x 768). In most of the journals I have found, they require a reference point such as lips, nose or eye corner. But I am only able to extract the center of iris by doing certain thresholding. How can i map this position (X,Y) to my computer screen pixel (1366 x 768)?
Well you either have to fix the head to a certain position (which isn't very practical) or you will have to adapt to the face position. Depending on your image, you will have to choose points that are always on that image and are easy to detect. If you just have one point (like the nose), you can only adjust for the x/y shift of your head. If you have more points (like the 4 corners of the eye, the nose, maybe the corners of the mouth), you can also extract the 3 rotational values of the head and therefore calculate the direction of sight much better. For a first approach, I guess only the two inner corners of the eye (they are "easy" to detect) will do.
I would also recommend using a calibration sequency. You present the user with a sequence of 4 red points in the corners of the screen and he has to look at them. You can then record the positions of the pupils and interpolate between them.