Hello Clotilde,

I'd like to follow up with some other potential things to look out for in addition to what Alex suggested and questions based on your description. We dealt a lot with this via the papers on HDR we published last year.

 * Full fisheye HDR images should always be cropped to a bounding
   square and the view edited or input inline via Evalglare when doing
   analysis. Are you cropping the images in all cases?
 * Where is your 1.39 calibration factor derived from? It is useful to
   measure luminance for every HDR photo taken from an easy to identify
   (and nearly-neutral) surface for use in calibrating images rather
   than a constant. Typically the discrepancies I find when I
   /don't///measure luminance this aren't as high as what you found
   however.
 * You should look up the recent discussion, "[HDRI] Convert
   equisolidangular to equiangular projection" which strongly suggests
   the Sigma 8mm f/3.5 to be a -vta / equidistant / equi-angle lens.
   Reprojecting the image could add some error in this case.

Best,
Alstan

On 2/9/2017 6:09 AM, Alex Mead wrote:
Clotilde:

Are you sure your low dynamic range pictures are properly exposed from which you construct the HDRI?

Meaning, the fastest shutter speed picture has no saturation (i.e. all white pixels) and your slowest shutter speed picture has some black pixels? You need to make sure this is true else you won't get proper illuminance calculation and also your bright spots (i.e. high luminance) will be under reported.

- Alex

On Wed, Feb 8, 2017 at 11:10 AM, Clotilde Pierson <[email protected] <mailto:[email protected]>> wrote:

    Dear all,

    I am using a Canon EOS 5D Mark II with a Sigma EX DG 8mm f/3.5
    fisheye lens to capture LDR images. I then use hdrgen with the
    response curves I defined previously to generate HDR images from
    these LDR images. I calibrate the HDR images for the vignetting
    effect and the distortion (equisolid to equidistant projection).
    Finally, I apply a calibration factor of around 1.39.

    When comparing the vertical illuminance and luminance values of
    the HDR images with the real measures I took (Minolta LS-110
    luminancemeter and Hagner EC1-X luxmeter), I noticed that the HDR
    images are underestimating the illuminance (e.g. 1217lux instead
    of 1993lux) and the high luminance values (e.g. 208 cd/m² instead
    of 402.3cd/m²). I determined the illuminance value of an HDR with
    Evalglare –V and the luminance values with ximage in Radiance.

    I also tried only applying default hdrgen (+cropping & header
    modification to set the VIEW to vta to use in Evalglare) but I
    still got big differences between the HDR-derived and the measured
    luminance and illuminance values.

    Is somebody using the same instruments I am? If yes, do you also
    happen to have this issue? Or does anybody have already encounter
    this problem?

    Thank you for your insights !

    Best,

    Clotilde

    *Test*

    **

    *Clotilde Pierson*

    /FNRS PhD Fellow | Arch. Eng./

    *Architecture et Climat**
    *Faculté d’architecture, d’ingénierie architecturale et
    d’urbanisme (LOCI)

    Université catholique de Louvain (UCL)
    Place du Levant, 1 bte L5.05.04 B-1348 - Louvain-la-Neuve (Belgique)
    [email protected] <mailto:[email protected]>

    Tél. 32 (0)10 47 91 52 - Fax 32 (0)10 47 21 50
    http://www.uclouvain.be/architecture-climat.html
    <http://www.uclouvain.be/architecture-climat.html>


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