  High-dynamic range imaging permits to extend the dynamic range of intensity
values to get close to what the human eye is able to perceive. Although there
has been a huge progress in the digital camera sensor range capacity, the need
of capturing several exposures in order to reconstruct high-dynamic range
values persist. In this paper, we present a study on how to acquire
high-dynamic range values for multi-stereo images. In many papers, disparity
has been used to register pixels of different images and guide the
reconstruction. In this paper, we show the limitations of such approaches and
propose heuristics as solutions to identified problematic cases.
