Angles and the Camera Equation

Imagine a bucolic scene on a clear sunny day at the equator, sand warmed by the tropical sun with a typical irradiance (E) of about 1000 watts per square meter.  As discussed earlier we could express this quantity as illuminance in lumens per square meter (lx) – or as a certain number of photons per second (\Phi) over an area of interest (\mathcal{A}).

(1)   \begin{equation*} E = \frac{\Phi}{\mathcal{A}}  \; (W, lm, photons/s) / m^2 \end{equation*}

How many photons/s per unit area can we expect on the camera’s image plane (irradiance E_i )?

Figure 1.  Irradiation transfer from scene to sensor.

In answering this question we will discover the Camera Equation as a function of opening angles – and set the stage for the next article on lens pupils.  By the way, all quantities in this article depend on wavelength and position in the Field of View, which will be assumed in the formulas to make them readable, see Appendix I for a more formally correct version of Equation (1).

Spherical Cones and Lambertian Reflectance

Irradiance is not directional, meaning that the photon flux can arrive from  any direction or even from multiple/extended sources, for example an overcast sky.  What matters in this article is the number of photons incident on the relevant area of the object of interest, so that’s what we will refer to as E_o, the subscript o indicating a quantity referred to the object.   Think of it as the output of a photodiode flush with the surface, counting every photon impinging on it, regardless of where it came from.

The object absorbs some photons and reflects some depending on its morphology and physical characteristics.  Those reflected propagate in straight lines in air in all directions.  Neighboring  photons reflected from small uniform portions on the surface of the object (\mathcal{A}) form conical volumes.  The direction and relative number of photons within each cone depends on the object’s physical characteristics, their distribution the result of so-called specular, diffused or mixed reflection.

Figure 2 shows photons in air reflected from such a small sample area \mathcal{A}, the specific spherical cone chosen because it  is the one that points directly towards the lens of the camera, which is what this article is concerned with.

Figure 2.  When photons  arriving from an arbitrary direction strike an incremental surface area A on an object they are partly reflected in a general proportion and direction based  on the properties of the surface.  From there they spread out in the shape of conical volumes made up of a right circular cone with a spherical cap (not drawn to scale).  The angle between the  cone’s axis and the surface normal n is the same beta as in Figure 1.

We will assume that the object presents an ideal Lambertian surface with reflectance R – so a total number of photons per unit area equivalent to RE_o will be reflected diffusely in a predictable fashion, in the set of all directions contained within the hemisphere above the small uniform reference area \mathcal{A}.

For a given conical half opening angle (\theta) the number of photons reflected into the relative cone will decrease the more the observed cone axis  is tilted away from the direction perpendicular to the surface (its normal \vec{n}).  In fact with Lambertian reflectors the number of encompassed photons decreases with the cosine of the angle (\beta) between the surface normal and the axis of the cone – because less and less projected area is visible from the direction of interest as tilt increases. This is known as Lambert’s Cosine Law.

Figure 3. Proportion of photons reflected by a Lambertian surface in each direction according to Lambert’s Cosine Law (central slice through the reflected hemisphere shown, perpendicular to the surface). The longer the red arrow, the more the reflected photons in that direction.  Image under license, courtesy of GianniG46, modified by me for this article.

Figure 3 shows the relative number of photons that can be expected in the shown directions within the central slice of the set of all hemispherical directions: the longer the red line, the more the photons reflected in that direction.  It turns out that many natural surfaces tend to behave this way when incident light is within about 40 degrees of the normal (angle \alpha in Figure 1).  Beyond that reflections become more and more directional, hence mixed.

Photons Reflect into Spherical Caps

Since the lengths of the red arrows in Figure 3 represent a relative number of photons reflected in the given direction from the same small area on the object, clearly the larger the opening angle of the cone of interest (also known as its angular aperture), the larger the proportion of total reflected photons that will be part of it.

If we assume that all photons spreading out inside the cone towards the lens all depart from the same relatively small area \mathcal{A} on the object at the same time – like pellets spreading out from a shotgun, all traveling at equal velocity in  a straight line – by the time they reach the lens they will have taken the shape of a spherical cap.

Figure 4 below shows an (almost) two-dimensional view of a spherical cap, looking like the arc of a circle with radius r subtended by angle 2\theta.   With \theta in radians the length of such an arc is r2\theta by definition.

Figure 4.  The solid angle associated with spherical cones is the area of the cap after normalizing r to 1.  It is computed by rotating the semi-arc r.theta through 360 degrees around the axis.

In three dimensions the area of the spherical cap on the cone would simply be the semi-arc r\theta rotated through 360 degrees – the arriving photons will be spread out evenly over it.  Its area is

(2)   \begin{align*} \mathcal{A}_{cap} &= 2 \pi r^2 (1-cos\theta) = 4 \pi r^2 sin^2 (\frac{\theta}{2}) \\ &\approx  \pi r^2 \theta^2 \approx  \pi r^2 sin^2\theta \end{align*}

The bottom two approximations are valid for the small angles normally involved in photography (see Appendix III for exactly how valid).  The last one is relevant to well corrected lenses that need to meet the Abbe Sine Condition, which forces working f-number in the center to N_w=\frac{1}{2sin\theta} .

Solid Angles are Normalized Spherical Caps

Just like radians are normalized for r in one dimension it is useful to normalize the area of the cap for r^2, a quantity that is then referred to as a solid angle \Omega:

(3)   \begin{equation*} \Omega = \frac{A_{cap}}{r^2}, \; sr \end{equation*}

Its units are radians rotated through 360°, formally steradians (sr).  Per Equation (2)

(4)   \begin{equation*} \Omega \approx  \pi \theta^2 \approx  \pi sin^2\theta \approx \frac{\pi}{4N_w^2}, \; sr. \end{equation*}

We can see intuitively why this would be useful in our case, because for a given interacting irradiance E_o the number of photons \Phi_o instantaneously reflected out through the cone from a small area on the object \mathcal{A} towards the lens depends only on the opening angle \theta – hence solid angle \Omega – but stays otherwise the same from when it departs the surface as it spreads out into an enlarging spherical cap on its way to the lens.

Radiance and Luminance

The number of photons reflected per small area from the object per normalized spherical cap (the solid angle) in the direction of interest is denoted radiance (L, in photometry Luminance).  We can write this definition generically as follows

(5)   \begin{equation*} L = \frac{\Phi}{\mathcal{A}\Omega}, \; photons/s/sr/m^2 \; \text{or} \; cd/m^2 \end{equation*}

Since a Lambertian surface reflects all incident photons per unit area E_o into the hemisphere above itself subject to reflectance R, we can calculate constant L_o by integrating over all possible solid angles (I’ll spare you the gory details[1]) obtaining

(6)   \begin{align*} L_o = \frac{RE_o}{\pi}, \; photons/s/sr/m^2 \; \text{or} \; cd/m^2 \end{align*}

the subscript _o indicating quantities at the object as seen from the lens.  Radiance/Luminance L from a Lambertian surface is indeed only a function of reflected incident total power density E_o and is therefore the same in all directions and at all distances.

It’s easy to prove to oneself that radiance/Luminance is conserved in radiation transfer,  just check whether an image on a monitor appears equally bright from 300mm or from an order of magnitude farther away.  Or whether a quasi-Lambertian gray card looks equally bright when tilted at different angles, within its limits of Lambertian diffuse reflection.  This property of Luminance comes in handy in the discussion that follows.

The Camera’s Perspective

We now understand that the number of photons reflected towards the lens is by the  definition in  Equation (5) above

(7)   \begin{equation*} \Phi_o = L_o \mathcal{A}_o \Omega}_o, \; photons/s \end{equation*}

with subscript _o indicating quantities on the object side and

  1. L_o Radiance/Luminance from the object (= \frac{RE_o}{\pi} for a Lambertian reflector);
  2. \mathcal{A}_o = \mathcal{A} cos\beta because the small reflecting area \mathcal{A} is ‘foreshortened’ by the cosine of \beta in the direction of propagation since the recipient of those photons (say the camera) sees less of it the more it is tilted with respect to the surface normal;
  3. \Omega_o \approx  \pi \theta^2 \approx  \pi sin^2\theta \approx \frac{\pi}{4N_w^2} is a function of opening angle \theta_o from the object plane to the edge of the pupil of the lens.

At typical photographic distances, all photons from uniform small reflecting area of interest  \mathcal{A} in the neighborhood of the vertex of the lens-subtending cone will end up in the same spherical cap, in the limit this assumption is exact.

Figure 5.  Directionless irradiating energy E is funneled by a Lambertian reflector to the sensing plane through the lens via the two shown spherical cones and relative solid angles.

Assuming no losses through the optics, the same number of photons that arrive at the lens (\Phi_o) will leave it on the way to the image plane (\Phi_i), with subscript _i indicating quantities on the image side.

In air, the setup there is the reciprocal (the conjugate) of that on the object side, with L_i=L_o being constant and the solid angle \Omega_i a function of opening angle \theta_i.  Per geometrical  optics, area \mathcal{A}_i on the image plane near the vertex of the cone of arriving photons will be a (de)magnified version of area \mathcal{A}_o on the object from which they left, with lens magnification |m| typically less than one. Appendix II has some further details on magnification.

Bringing it All Together: the Camera Equation

So with an ideal lens with no losses, the total number of photons per second arriving on the sensing plane in air \Phi_i is

(8)   \begin{equation*} \Phi_o = \Phi_i = L_i \mathcal{A}_i  \Omega_i, \; photons/s \end{equation*}

because of conservation of energy and reciprocity.  Since radiance/Luminance is conserved, L_i = L_o = L and the number of photons per unit area near the vertex of the cone on the image plane (sensor irradiance E_i) is from the definitions in Equations 1 and 8

(9)   \begin{equation*} E_i = \frac{\Phi_i}{\mathcal{A}_i } = L \Omega_i, \; photons/s/m^2 \end{equation*}

Equation (4) tells us that \Omega_i is to a good approximation equal to \frac{\pi}{4N_w^2}, with N_w the lens working f-number, so irradiance on the image plane is

(10)   \begin{equation*} E_i \approx L \frac{\pi}{4N_w^2} \; photons/s/m^2. \end{equation*}

This is known as the Camera Equation with a perfect lens, see Appendix I for a slightly less perfect lens.

Since Exposure is H_i = E_it, with t exposure time in seconds

(11)   \begin{equation*} H_i \approx \frac{\pi}{4}L\cdot\frac{t}{N_w^2} \; photons/m^2 \end{equation*}

a formula photographers know well and apply daily since it is the basis of the Exposure Value system.  The approximation  is pretty good at typical working f-numbers as shown in Appendix III.

With Lambertian reflectors the last two equations can be expressed as a function of incoming interacting irradiance E_o instead of L thanks to Equation (6), answering the question posed at the beginning of this article.  Therefore, ignoring transmission losses, the photon flux per unit area at a particular spot on the sensor is

(12)   \begin{equation*} E_i \approx \frac{RE_o}{4N_w^2} \; photons/s/m^2 \end{equation*}

with R surface reflectance, E_o photon flux per unit area interacting with the object (irradiance/illuminance) and N_w the lens working f-number.   As mentioned up top these are typically spectral quantities valid both in radiometric and photometric contexts.  A discussion of pupils is next.

 

PS.  A similar result was obtained straight from a light source’s Radiant Exitance in the Appendix of the article on Photons Emitted From a Light Source.

 

Appendix I – Slightly More Formal Equations

As mentioned, incoming energy/photon flux  (\Phi) depends on the spectral power distribution of the illuminant, hence on wavelength (\lambda).  So Irradiance in Equation (1) becomes

(13)   \begin{equation*} E(\lambda) = \frac{1}{\mathcal{A}} \int_{\lambda_1}^{\lambda_2}\Phi(\lambda) d\lambda \; (W, lm, photons/s) / m^2 \end{equation*}

The limits of integration for wavelength in photography and colorimetry are the visible range, usually taken to be 380-780nm.

The incoming energy is reflected towards the camera by an object at the scene according to spectral reflectance R(\lambda).  In daylight, Luminance in Equation (7) is reflected flux weighted by the photopic Luminosity Function V(\lambda) per unit area per the solid angle subtended by lens aperture at the object

(14)   \begin{equation*} L(\lambda) = \frac{1}{\mathcal{A}\Omega_o }\int_{380}^{780} \Phi(\lambda)R(\lambda)V(\lambda) d\lambda \; cd / m^2 \end{equation*}

A great lens in real life may be close to unaberrated but it will have some transmission losses T, that in stops are often almost negligible today.  It will also most likely have some mechanical vignetting v(\theta) as a function of position on the imaging plane, defined by the angle of view \theta, with theta equal to zero on the optical axis – and something approaching cos^4(\theta) fall-off as light reaches the corners of the sensing area.  So Luminance from an almost perfect lens would in fact be closer to

(15)   \begin{equation*} L(\lambda,\theta) &= \frac{T v(\theta) cos^4(\theta)}{\mathcal{A} \Omega_o}\int_{380}^{780} \Phi(\lambda)R(\lambda)V(\lambda) d\lambda \end{equation*}

in cd/m^2, with the numerator lens-dependent, angle-of-view factor.  That’s the Luminance L that needs to be plugged into Equation (10).  If L(\lambda) is measured before the lens we then have the Camera Equation

(16)   \begin{equation*} E_i (\lambda,\theta,N_w) \approx T v(\theta) cos^4(\theta) L(\lambda) \frac{\pi }{4N_w^2} \; ph./s/m^2 \end{equation*}

Similarly for Exposure in Equation (11).

Appendix II – Throughput and Magnification

As we are assuming no losses, the number of photons reflected by the object towards the lens is the same that hits the sensing plane, that is \Phi_i=\Phi_o or by definition

(17)   \begin{equation*} L_i \mathcal{A}_i  \Omega_i = L_o\mathcal{A}_o  \Omega_o , \; photons/s \end{equation*}

Since radiance/Luminance is conserved, L_i = L_o cancels out and we are left with

(18)   \begin{equation*} \mathcal{A}_i  \Omega_i = \mathcal{A}_o  \Omega_o \end{equation*}

The quantities on either side of the Equation above are known as Throughput (or Etendue).  Throughput is obviously also conserved in radiation transfer.  Rearranging the terms we get

(19)   \begin{equation*} \frac{\mathcal{A}_i}{\mathcal{A}_o}  = \frac{\Omega_o}{\Omega_i} \end{equation*}

and if we assume that the projected area of the object is circular or square with height h_o

(20)   \begin{equation*} \frac{\mathcal{A}_i}{\mathcal{A}_o}  =  \frac{h^2_i}{h^2_o}  = m^2 \approx   \frac{\pi\theta^2_o}{\pi\theta^2_i} \approx \frac{\pi sin\theta^2_o}{\pi sin\theta^2_i} \end{equation*}

in other words lens magnification m is equal to

(21)   \begin{equation*} |m| = \frac{h_i}{h_o} \approx \frac{\theta_o}{\theta_i}  \approx \frac{sin\theta_o}{sin\theta_i} \end{equation*}

with \theta in radians.  The last fraction to the right takes into consideration the Abbe Sine Condition, which well corrected lenses need to fulfill in order to mitigate aberrations like coma near the optical axis.  This is the reason why the preferred expression for working f-number for such lenses in air is

(22)   \begin{equation*} N_w = \frac{1}{2NA_i} \approx  \frac{1}{2sin\theta_i} \end{equation*}

with NA_i the image-referred numerical aperture.  Then

(23)   \begin{equation*} |m| = \frac{h_i}{h_o} \approx \frac{NA_o}{NA_i} \approx \frac{N_w}{N_o}. \end{equation*}

with NA_o and N_o the object referred numerical aperture and working f-number respectively.

Appendix III – Accuracy of Solid Angle Approximations

As we have seen in this article a solid angle is the area of the relative conical spherical cap per Equation (2), divided by the radius squared:

    \begin{align*} \Omega &= 2 \pi (1-cos\theta) = 4 \pi sin^2 (\frac{\theta}{2}) \\ &\approx  \pi \theta^2 \approx  \pi sin^2\theta \end{align*}

The last two are approximations valid only for small \theta in radians.

With a circular Exit Pupil of diameter D, the lens focused at infinity and a small opening angle \theta – the spherical cap can be assumed to be almost flat, therefore a circular disk.  In that case its area is the area of the aperture \pi (\frac{D}{2})^2 and the radius of the cone can be considered equal to published focal length f, so another approximation for the solid angle often used in photography  is

    \begin{align*} \Omega = \frac{A_{cap}}{r^2} \approx \frac{\pi D^2}{4 f^2} \approx \frac{\pi}{4N^2}. \end{align*}

with published f-number N=\frac{f}{D}.  When can the small angle approximation be used?  Figure 6 shows the error in stops for each solid angle formulation as a function of working f-number for a well corrected lens, per Equation (18).

Solid Angle Approximations in Photography
Figure 6.  Error in various approximations of the solid angle associated with a spherical dome.

Pretty good in practice over typical working f-numbers, since most photographers are content with 1/3 of a stop Exposure controls in-camera.  You can check my math in the Matlab routine that produced the plot.

Notes and References


1. For a clear derivation of radiance/Luminance from Lambertian sources see Dr. Robert A. Showengerdt’s class notes at the University of Arizona, 2000.

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