1. A computer implemented method for adaptive depth map reconstruction, the method comprising: receiving a mask identifying at least one region of interest (ROI) of a subject of interest in a scene; using an active stereo device for acquiring an image of said scene, said active stereo device comprising an illuminator for projecting an undistorted pattern of source light with known spatio-temporal attributes onto said scene, and an imaging device for detecting a reflection of said projected pattern of source light off surfaces in said scene in which said ROI is moving due to respiration by said subject of interest; and reconstructing, by a depth map reconstruction module, a depth map of said scene from said acquired image, wherein reconstructing said depth map comprises: establishing correspondences between spatial attributes of said projected undistorted pattern of light and spatial attributes in said detected pattern of light; changing a density of said established correspondences to be higher at locations corresponding to said ROI, as identified by said mask while a density of said established correspondences not associated with said ROI is unchanged at locations other than said ROI, and wherein said changing said density of said established correspondences to be higher at locations corresponding to said ROI includes using a higher number of colors as identified by said mask while using a lower number of colors at locations other than said ROI; determining offsets between said established correspondences; triangulating said offsets to obtain depth values; and aggregating said depth values to reconstruct said depth map, said reconstructed depth map being such that a spatial resolution in said ROI is higher relative to a spatial resolution of scene locations not associated with said ROI.