my problem is that
as I image see I want all location of by zip code, not just center.
I check many ways just give me response like google reponse
but that give northeast and southwest point
but my project wants all the point of that zip code.
how do I get all the points?
This is not currently possible.
There is a very popular feature request that seems like a good fit though:
Automatic polygon generation to specified geographic boundary
Related
I am new to point cloud. I am trying to use the ICP algorithm to track the movement of my object in realtime, and most of the time I can get my expected results. However, when the object is running out of camera's vision, the result will be inaccurate, like shown in the picture. I want to improve the result. Anyone has experience about this situation? Thanks!
good result:
good result:
bad result:
I can't comment to the original question but could you paste some code so people could see what is happening in your code.
.
I expect you have a model of the item as cloud one and the scene as cloud two. Some of the item points in cloud 1 are not in the scene (2) but ICP is trying to minimize the distance to a nearest scene point for also these points that are not in the scene. Try adjusting the MaxCorrespondenceDistance parameters so it will reject points that are too far. Smaller is better if your original guess is good.
Also a good option in this particular case would be to try the point to plane version of ICP.
I am taking part in the project studies associated with clouds of points.
We have to create a web application. Whose task will be displaying point cloud from .ply file. And then select an area and calculate its volume. The algorithm of counting the volume is to be implemented in C ++. The only things we have is a file in .ply format and file with the XYZ-coordinates of all points. The cloud of points we get, is generated from a picture taken by a drone. For example, it is a cloud of points representing a mountainous area . Our task is to be able to select such one mountain and calculate its approximate volume taking into account an error +/-. The measurement does not have to be perfect but it has to be even close to the real volume of mountain. The volume has to be calculated from the flat surface at the lowest point of the mountain.
I have two questions for you.
-First, could you give me a clue, link or anything that would help me to find such an algorithm and the reasons why he is the best.
-Second, do any of you have idea what would be the best way to select some area from the rendered point cloud?
I was looking for this information . But I can not find anything that would be useful enough to use it in our project. Any tip or a document on the subject would be very useful ;)
"Volume" is not a clearly defined concept for a point cloud. There are very many ways to determine a surface, and there is no single answer. It would depend very much on what constraints were given for defining the surface of the point cloud.
A very simplistic approach would be simply to use the minimum and maximum coordinate values on all three axes, thereby giving the volume of a right rectangular parallelepiped that encloses all the points.
A much more complex approach would involve computing a minimum convex envelope. That is a nontrivial problem.
It would get even harder if you were trying to find an envelope that was not necessarily convex.
In any case, it is important to pin down exactly what is meant by "volume" before you can craft an effective algorithm to compute it.
As you are working with pointclouds generated "from a picture taking by a drone" (I'm assuming here that you mean something like: photogrammetric process over drone imagery):
First:
Take a look at:
This
Or try to develop yourself some approach based on octrees.
If you go for developing your own approach, and you want it in c++, take a look at:
This
and This
Second:
I'm not sure if I understand the question, but looks obvius to me that the best way to select the area of interest in order to perfmor the calculation is through user's interaction (let the user select points arround the area and compute over the remaining points between).
Extra:
Just In case you didn't know it yet, I recommend CloudCompare to everyone who is working on something PointCloud-related.
Hope this links could help you.
Hi frens I am using geopy to calculate the latitude and longitude. Now I want to get the list of areas given distance from a zipcode.How to get that?
Well, as I can see, geopy doesn't have any built-in capability to get a list of areas around some coordinates.
But you can use a workaround. Take your geocode and calculate coordinates (latitue and longitude). Then imagine a grid on the map with a cell size equal to area of the smallest one you need to find around your location.
Use geopy to get an area name belonging to the each cell corner of your grid. Is that ok for you? It will get you some kind of approximation because a grid is not a circle and you may miss some small areas. But I think in most cases the solution will work fine.
It is much easier to locate zipcodes inside a rectangle than in a circle so I would recommend that you approximate your problem by looking for zipcodes inside a given rectangle.
Here are answers to the question of how to get list of zipcodes in given polygone: Find zipcodes inside polygon shape using google maps api
Summary
You need geometry for each zipcode. Once you have that you need to be able to query it using database that supports geoquery. One such database is Google's Fusion Table and there is already a geometry data table for zipcodes available here: https://www.google.com/fusiontables/DataSource?docid=1AxB511DayCdtmyBuYOIPHIe_WM9iG87Q3jKh6EQ#rows:id=1
Here's the sample query for Fusion Table data.
Another approach is server side code using PHP and CSV data. Here's live demo: http://daim.snm.ku.dk/demo/zip/. The page also has download for code.
If you use any of above technique please make sure to upvote answers of original authors :).
In Google Earth you can use the "Sunlight" layer to view shadows cast by the terrain at any given DateTime: http://i.stack.imgur.com/YFGMj.png
However, I have not been able to find any way to access the sunlight/luminosity/shadow/etc values from the API.
I'm looking for a way to supply Lat, Long and DateTime to determine if an area is in sunlight (taking terrain shadows in to account, there are countless services that will provide simple Sunrise and Sunset times, but these do not consider terrain). This can be done manually with Google Earth, but I'm looking for a programatic method.
Thanks for any thoughts, ideas, leads...
I realise that this is an old question, but it surfaced in a google search I just did, and I liked the focus.
Since you're looking for a programmatic way of determining if a point on earth given by a longitude and latitude tuple is exposed to sun at a given time, I can't help you right now. However, I'm in a position to be able to set up such an API quite easily if we see that this is a feature that many people need. At suncurves.com we calculate sunrise and sunset times accounting for terrain. The solution we've set up so far is a web interface where a user can search for an address or drag and drop the icon on a map to get sunrise and sunset times through the year for that exact spot accounting for terrain. We want to create an API to our data, but we do not have a clear specification of the scope of this API yet. What you ask for requires that we need to:
Calculate the apparent horizon from the viewing point of the
longitude and latitude. This means scanning the terrain data in a
search radius of 30-50 km around your point.
Calculate the sun's position at the specified time.
Calculate the sun's position at the specified time. Determine if the
sun is under or over the horizon as given by the terrain surrounding
your point accounting for atmospheric refraction.
Here's an example from Chamonix, France where the common flat terrain versions of sunrise, sunset times are pretty worthless.
http://suncurves.com/v/7/
I am not sure about determining whether an AOI in in the sun or shade at a certain time, however you can set the SUN to be on or off in the API by using
GESun.setVisibility
Edit:
Using the GE-plugin, create a LookAt with your desired AOI lat/long where the view is directly above looking straight down. Depending on the size of you actual AOI I would keep the view as low to the ground as possible.
Then capture a screenshot/image - I do not think this is possible through GE (if anyone knows a way I would like to find out), so maybe use javascript to take it - I found this Q on SO that provides some insight.
Take a screenshot with GESun.setVisibility set ON and then another with it OFF
Compare the two images for darkness/lightness or something and determine if your AOI is in the shade or not. You might find it better to surround your AOI in a Polygon of some sort in order to help your program distinguish it from the rest of the image - depending on the height the LookAt was taken from etc etc....
I do not have any ideas on how to compare the images, but yet again another search on SO resulted in this (I would presume finding the values of COLOR_BLACK in PHP ImageMagick) and this (Color Buckets idea).
Depending on your method of choice, it might help to alter your images to black/white before doing the comparing.
I am trying to write a software for document management. First I Input the blank invoice. then feeds the other invoices with data. Using SIFT detectors i get what type of a invoice it is.
Then I want to remove the interect of the two images. Basically this will keep only the information and remove the common data on the invoice. I want to know is there a proper way to remove areas from the image
there is a concept in imagery called the region of interest. It creates a pointer to a sub-region in the original image, this could help you to read directly at x,y coordinates in the image.
Another possibility would be to make a substraction of the original image. But depending on the quality of the filled form picture, this might lead to other problems.
I was implying the ROI in a sense that you could create a ROI for every place where the form has input data and process only those specific regions
I found a function you might help you, cvAbsDiff, which can subtract an image from another
Here is a link that might help you understanding how to use it
http://blog.damiles.com/?p=67