I don't know if this is basic math I have to compute, or my inexperience with the pitch, roll, and yaw values. At the moment I have an image object that moves based on my accelerometer values.
//Move the ball based on accelerator values
delta.x = CGFloat(acceleration.x * 10)
delta.y = CGFloat(acceleration.y * 10)
ball.center = CGPointMake(ball.center.x + delta.x, ball.center.y + delta.y)
I can calculate the pitch through the attitude and get the angle. What I want to do is line up my "ball" in the center of the screen only when the angle of the phone is a certain angle, lets say 45 degrees. How can I move my ball so that it lines up in the center based on specific angles given?
Your screen height is Η pixels.
Your screen width is W pixels.
The horizontal centre of the screen is x = W / 2
I'm assuming from your question you want the ball centre to vary between the top (x, 0) when the screen is flat and bottom (x, H) when the screen is vertical.
If the angle of your phone θ varies between 0 and π, then y = θ / π * H
ball.center = CGPoint(x: W / 2, y: θ / π * H)
All you need is the trig to work out θ based on the gyro readings
Related
I have 5 subviews(White) added to the superview(Gray), when I rotate the superview I want to know the angle(like 1 and 2) of each of the subview with the red circle.(the center of the subviews and the red circle are ON the same circle)
Start Position:
Rotated Position:
From your comment you appear to want to determine the coordinates of the centres of your five circles for a given rotation. The centres will all lie on a circle. So your question boils down to what are the coordinates of a point on a circle of radius r for an angle θ. The parametric equations for a circle give you that:
x = r cos θ
y = r sin θ
The angle, θ, in these equations is measured in radians from the positive x-axis in an anti-clockwise direction. If your angle are in degrees you will find the M_PI constant for π useful as:
360 degrees = 2 π radians
The rest is simple math, take your angle of rotation to give you the angle for A (remembering to adjust for 0 being the x-axis and measuring anti-clockwise if needed), the other centres are multiples of 72 degrees (0.4 π radians) from this.
HTH
I'm not sure I completely understand your question, but if you just need to take a known point and rotate it a certain number of degrees, check out the docs for CGAffineTransform.
For example:
CGAffineTransform rotation = CGAffineTransformMakeRotation (angle);
CGPoint rotatedPoint = CGPointApplyAffineTransform (startingPoint, rotation);
This rotation matrix is around (0, 0) and the angle is in radians, so you will need to subtract the center of your superview's bounds to get an offset relative to the center, do the rotation, and add back in the center. Or you can build an affine transform made up of that translation, rotation, and inverse translation, and then apply that to your starting point as above.
Given that you already seem to know the main rotation angle, this will give you the angles in the range -180 .. +180 and positions of each of the white discs:
GCFloat toRads = M_PI / 180.0;
CGFloat angleA = self.rotationInDegrees;
if (angleA > 180) angleA -= 360;
CGFloat xA = self.radius * sinf(angleA * toRads);
CGFloat yA = self.radius * cosf(angleA * toRads);
CGFloat angleB = angleA + 72;
if (angleB > 180) angleB -= 360;
CGFloat xB = self.radius * sinf(angleB * toRads);
CGFloat yB = self.radius * cosf(angleB * toRads);
etc...
(This assumes your zero degrees is from the vertical. If it's from the horizontal swap cos and sin over).
I just started learning metal and can best show you my frustration with the following series of screenshots. From top to bottom we have
(1) My model where the model matrix is the identity matrix
(2) My model rotated 60 deg about the x axis with orthogonal projection
(3) My model rotated 60 deg about the y axis with orthogonal projection
(4) My model rotated 60 deg about the z axis
So I use the following function for conversion into normalized device coordinates:
- (CGPoint)normalizedDevicePointForViewPoint:(CGPoint)point
{
CGPoint p = [self convertPoint:point toCoordinateSpace:self.window.screen.fixedCoordinateSpace];
CGFloat halfWidth = CGRectGetMidX(self.window.screen.bounds);
CGFloat halfHeight = CGRectGetMidY(self.window.screen.bounds);
CGFloat px = ( p.x - halfWidth ) / halfWidth;
CGFloat py = ( p.y - halfHeight ) / halfHeight;
return CGPointMake(px, -py);
}
The following rotates and orthogonally projects the model:
- (matrix_float4x4)zRotation
{
self.rotationZ = M_PI / 3;
const vector_float3 zAxis = { 0, 0, 1 };
const matrix_float4x4 zRot = matrix_float4x4_rotation(zAxis, self.rotationZ);
const matrix_float4x4 modelMatrix = zRot;
return matrix_multiply( matrix_float4x4_orthogonal_projection_on_z_plane(), modelMatrix );
}
As you can see when I use the exact same method for rotating about the other two axes, it looks fine-not distorted. What am I doing wrong? Is there some sort of scaling/aspect ratio thing I should be setting somewhere? What things could it be? I've been staring at this for an embarrassingly long period of time so any help/ideas that can lead me in the right direction are much appreciated. Thank you in advance.
There's nothing wrong with your rotation or projection matrices. The visual oddity arises from the fact that you move your vertices into NDC space prior to rotation. A rectangle doesn't preserve its aspect ratio when rotating in NDC space, because the mapping from NDC back to screen coordinates is not 1:1.
I would recommend not working in NDC until the very end of the vertex pipeline (i.e., pass vertices into your vertex function in "world" space, and out to the rasterizer as NDC). You can do this with a classic construction of the orthographic projection matrix that scales and biases the vertices, correctly accounting for the non-square aspect ratio of window coordinates.
-- Update 2 --
The following article is really useful (although it is using Python instead of C++) if you are using a single camera to calculate the distance: Find distance from camera to object/marker using Python and OpenCV
Best link is Stereo Webcam Depth Detection. The implementation of this open source project is really clear.
Below is the original question.
For my project I am using two camera's (stereo vision) to track objects and to calculate the distance. I calibrated them with the sample code of OpenCV and generated a disparity map.
I already implemented a method to track objects based on color (this generates a threshold image).
My question: How can I calculate the distance to the tracked colored objects using the disparity map/ matrix?
Below you can find a code snippet that gets the x,y and z coordinates of each pixel. The question: Is Point.z in cm, pixels, mm?
Can I get the distance to the tracked object with this code?
Thank you in advance!
cvReprojectImageTo3D(disparity, Image3D, _Q);
vector<CvPoint3D32f> PointArray;
CvPoint3D32f Point;
for (int y = 0; y < Image3D->rows; y++) {
float *data = (float *)(Image3D->data.ptr + y * Image3D->step);
for (int x = 0; x < Image3D->cols * 3; x = x + 3)
{
Point.x = data[x];
Point.y = data[x+1];
Point.z = data[x+2];
PointArray.push_back(Point);
//Depth > 10
if(Point.z > 10)
{
printf("%f %f %f", Point.x, Point.y, Point.z);
}
}
}
cvReleaseMat(&Image3D);
--Update 1--
For example I generated this thresholded image (of the left camera). I almost have the same of the right camera.
Besides the above threshold image, the application generates a disparity map. How can I get the Z-coordinates of the pixels of the hand in the disparity map?
I actually want to get all the Z-coordinates of the pixels of the hand to calculate the average Z-value (distance) (using the disparity map).
See this links: OpenCV: How-to calculate distance between camera and object using image?, Finding distance from camera to object of known size, http://answers.opencv.org/question/5188/measure-distance-from-detected-object-using-opencv/
If it won't solve you problem, write more details - why it isn't working, etc.
The math for converting disparity (in pixels or image width percentage) to actual distance is pretty well documented (and not very difficult) but I'll document it here as well.
Below is an example given a disparity image (in pixels) and an input image width of 2K (2048 pixels across) image:
Convergence Distance is determined by the rotation between camera lenses. In this example it will be 5 meters. Convergence distance of 5 (meters) means that the disparity of objects 5 meters away is 0.
CD = 5 (meters)
Inverse of convergence distance is: 1 / CD
IZ = 1/5 = 0.2M
Size of camera's sensor in meters
SS = 0.035 (meters) //35mm camera sensor
The width of a pixel on the sensor in meters
PW = SS/image resolution = 0.035 / 2048(image width) = 0.00001708984
The focal length of your cameras in meters
FL = 0.07 //70mm lens
InterAxial distance: The distance from the center of left lens to the center of right lens
IA = 0.0025 //2.5mm
The combination of the physical parameters of your camera rig
A = FL * IA / PW
Camera Adjusted disparity: (For left view only, right view would use positive [disparity value])
AD = 2 * (-[disparity value] / A)
From here you can compute actual distance using the following equation:
realDistance = 1 / (IZ – AD)
This equation only works for "toe-in" camera systems, parallel camera rigs will use a slightly different equation to avoid infinity values, but I'll leave it at this for now. If you need the parallel stuff just let me know.
if len(puntos) == 2:
x1, y1, w1, h1 = puntos[0]
x2, y2, w2, h2 = puntos[1]
if x1 < x2:
distancia_pixeles = abs(x2 - (x1+w1))
distancia_cm = (distancia_pixeles*29.7)/720
cv2.putText(imagen_A4, "{:.2f} cm".format(distancia_cm), (x1+w1+distancia_pixeles//2, y1-30), 2, 0.8, (0,0,255), 1,
cv2.LINE_AA)
cv2.line(imagen_A4,(x1+w1,y1-20),(x2, y1-20),(0, 0, 255),2)
cv2.line(imagen_A4,(x1+w1,y1-30),(x1+w1, y1-10),(0, 0, 255),2)
cv2.line(imagen_A4,(x2,y1-30),(x2, y1-10),(0, 0, 255),2)
else:
distancia_pixeles = abs(x1 - (x2+w2))
distancia_cm = (distancia_pixeles*29.7)/720
cv2.putText(imagen_A4, "{:.2f} cm".format(distancia_cm), (x2+w2+distancia_pixeles//2, y2-30), 2, 0.8, (0,0,255), 1,
cv2.LINE_AA)
cv2.line(imagen_A4,(x2+w2,y2-20),(x1, y2-20),(0, 0, 255),2)
cv2.line(imagen_A4,(x2+w2,y2-30),(x2+w2, y2-10),(0, 0, 255),2)
cv2.line(imagen_A4,(x1,y2-30),(x1, y2-10),(0, 0, 255),2)
cv2.imshow('imagen_A4',imagen_A4)
cv2.imshow('frame',frame)
k = cv2.waitKey(1) & 0xFF
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
I think this is a good way to measure the distance between two objects
This is so much an iOS question as it is my current inability to do coordinate geometry. Given a CGPoint to act as a point that the line will pass through and an angle in radians. How do I draw a line that extends across to the bounds of the screen (infinite line)?
I am using Quartz2d to do this and the API for creating a line is limited to two points as input. So how do I convert a point and angle to two points on the bounds of the iOS device?
This begins with simple trigonometry. You need to calculate the x and y coordinate of the 2nd point. With an origin of 0,0 and treating a line that goes straight to the right as 0 degrees, and going counterclockwise (anti-clockwise for some of you), you do:
double angle = ... // angle in radians
double newX = cos(angle);
double newY = sin(angle);
This assumes a radius of 1. Multiply each times a desired radius. Pick a number that will be bigger than the screen such as 480 for an iPhone or 1024 for an iPad (assuming you want points and not pixels).
Then add the original point to get the final point.
Assuming you have CGPoint start, double angle, and a length, your final point is:
double endX = cos(angle) * length + start.x;
double endY = sin(angle) * length + start.y;
CGPoint end = CGPointMake(endX, endY);
It's OK if the end point is off the screen.
I am attempting to simply make objects orbit around a center point, e.g.
The green and blue objects represent objects which should keep their distance to the center point, while rotating, based on an angle which I pass into method.
I have attempted to create a function, in objective-c, but it doesn't work right without a static number. e.g. (It rotates around the center, but not from the true starting point or distance from the object.)
-(void) rotateGear: (UIImageView*) view heading:(int)heading
{
// int distanceX = 160 - view.frame.origin.x;
// int distanceY = 240 - view.frame.origin.y;
float x = 160 - view.image.size.width / 2 + (50 * cos(heading * (M_PI / 180)));
float y = 240 - view.image.size.height / 2 + (50 * sin(heading * (M_PI / 180)));
view.frame = CGRectMake(x, y, view.image.size.width, view.image.size.height);
}
My magic numbers 160, and 240 are the center of the canvas in which I'm drawing the images onto. 50 is a static number (and the problem), which allows the function to work partially correctly -- without maintaining the starting poisition of the object or correct distance. I don't know what to put here unfortunately.
heading is a parameter that passes in a degree, from 0 to 359. It is calculated by a timer and increments outside of this class.
Essentially what I would like to be able to drop any image onto my canvas, and based on the starting point of the image, it would rotate around the center of my circle. This means, if I were to drop an image at Point (10,10), the distance to the center of the circle would persist, using (10,10) as a starting point. The object would rotate 360 degrees around the center, and reach it's original starting point.
The expected result would be to pass for instance (10,10) into the method, based off of zero degrees, and get back out, (15,25) (not real) at 5 degrees.
I know this is very simple (and this problem description is entirely overkill), but I'm going cross eyed trying to figure out where I'm hosing things up. I don't care about what language examples you use, if any. I'll be able to decipher your meanings.
Failure Update
I've gotten farther, but I still cannot get the right calculation. My new code looks like the following:
heading is set to 1 degree.
-(void) rotateGear: (UIImageView*) view heading:(int)heading
{
float y1 = view.frame.origin.y + (view.frame.size.height/2); // 152
float x1 = view.frame.origin.x + (view.frame.size.width/2); // 140.5
float radius = sqrtf(powf(160 - x1 ,2.0f) + powf(240 - y1, 2.0f)); // 90.13
// I know that I need to calculate 90.13 pixels from my center, at 1 degree.
float x = 160 + radius * (cos(heading * (M_PI / 180.0f))); // 250.12
float y = 240 + radius * (sin(heading * (M_PI / 180.0f))); // 241.57
// The numbers are very skewed.
view.frame = CGRectMake(x, y, view.image.size.width, view.image.size.height);
}
I'm getting results that are no where close to where the point should be. The problem is with the assignment of x and y. Where am I going wrong?
You can find the distance of the point from the centre pretty easily:
radius = sqrt((160 - x)^2 + (240 - y)^2)
where (x, y) is the initial position of the centre of your object. Then just replace 50 by the radius.
http://en.wikipedia.org/wiki/Pythagorean_theorem
You can then figure out the initial angle using trigonometry (tan = opposite / adjacent, so draw a right-angled triangle using the centre mass and the centre of your orbiting object to visualize this):
angle = arctan((y - 240) / (x - 160))
if x > 160, or:
angle = arctan((y - 240) / (x - 160)) + 180
if x < 160
http://en.wikipedia.org/wiki/Inverse_trigonometric_functions
Edit: bear in mind I don't actually know any Objective-C but this is basically what I think you should do (you should be able to translate this to correct Obj-C pretty easily, this is just for demonstration):
// Your object gets created here somewhere
float x1 = view.frame.origin.x + (view.frame.size.width/2); // 140.5
float y1 = view.frame.origin.y + (view.frame.size.height/2); // 152
float radius = sqrtf(powf(160 - x1 ,2.0f) + powf(240 - y1, 2.0f)); // 90.13
// Calculate the initial angle here, as per the first part of my answer
float initialAngle = atan((y1 - 240) / (x1 - 160)) * 180.0f / M_PI;
if(x1 < 160)
initialAngle += 180;
// Calculate the adjustment we need to add to heading
int adjustment = (int)(initialAngle - heading);
So we only execute the code above once (when the object gets created). We need to remember radius and adjustment for later. Then we alter rotateGear to take an angle and a radius as inputs instead of heading (this is much more flexible anyway):
-(void) rotateGear: (UIImageView*) view radius:(float)radius angle:(int)angle
{
float x = 160 + radius * (cos(angle * (M_PI / 180.0f)));
float y = 240 + radius * (sin(angle * (M_PI / 180.0f)));
// The numbers are very skewed.
view.frame = CGRectMake(x, y, view.image.size.width, view.image.size.height);
}
And each time we want to update the position we make a call like this:
[objectName rotateGear radius:radius angle:(adjustment + heading)];
Btw, once you manage to get this working, I'd strongly recommend converting all your angles so you're using radians all the way through, it makes it much neater/easier to follow!
The formula for x and y coordinates of a point on a circle, based on radians, radius, and center point:
x = cos(angle) * radius + center_x
y = sin(angle) * radius + center_y
You can find the radius with HappyPixel's formula.
Once you figure out the radius and the center point, you can simply vary the angle to get all the points on the circle that you'd want.
If I understand correctly, you want to do InitObject(x,y). followed by UpdateObject(angle) where angle sweeps from 0 to 360. (But use radians instead of degrees for the math)
So you need to track the angle and radius for each object.:
InitObject(x,y)
relative_x = x-center.x
relative_y = y-center.y
object.radius = sqrt((relative_x)^2, (relative_y)^2)
object.initial_angle = atan(relative_y,relative_x);
And
UpdateObject(angle)
newangle = (object.initial_angle + angle) % (2*PI )
object.x = cos(newangle) * object.radius + center.x
object.y = sin(newangle) * object.radius + center.y
dx=dropx-centerx; //target-source
dy=-(dropy-centery); //minus = invert screen coords to cartesian coords
radius=sqrt(dy*dy+dx*dx); //faster if your compiler optimizer is bad
if dx=0 then dx=0.000001; //hackpatchfudgenudge*
angle=atan(dy/dx); //set this as start angle for the angle-incrementer
Then go with the code you have and you'll be fine. You seem to be calculating radius from current position each time though? This, like the angle, should only be done once, when the object is dropped, or else the radius might not be constant.
*instead of handling 3 special cases for dx=0, if you need < 1/100 degree precision for the start angle go with those instead, google Polar Arctan.