A convex optimization approach for depth estimation under illumination variation.

Illumination changes cause serious problems in many computer vision applications. We present a new method for addressing robust depth estimation from a stereo pair under varying illumination conditions. First, a spatially varying multiplicative model is developed to account for brightness changes induced between left and right views. The depth estimation problem, based on this model, is then formulated as a constrained optimization problem in which an appropriate convex objective function is minimized under various convex constraints modelling prior knowledge and observed information. The resulting multiconstrained optimization problem is finally solved via a parallel block iterative algorithm which offers great flexibility in the incorporation of several constraints. Experimental results on both synthetic and real stereo pairs demonstrate the good performance of our method to efficiently recover depth and illumination variation fields, simultaneously.

[Ocular findings in megaloblastic anemia associated with diabetes. A case report]. / Complications oculaires de l'association anemie de biermer et diabete. A propos d'un cas.

Ocular involvements of Biermer's anaemia are rarely reported in literature. We present a case of Biermer's anaemia associated with diabetes. Ocular examination showed important conjinctival paleness, diffuse retinal ischemia, Roth's tasks, macular oedema and ischemic optic neuropathy. The patient was treated with vitamin B12 intramusculary. A month later, on examination, we noted a regression of optic neuropathy, the aggravation of ischemic retinopathy and persistence of macular oedema. The patient was treated with laser photocoagulation. The majority of ocular manifestations are reversible if treatment is underlaken early. The combination of diabetes with Biermer's anemia deteriorates the ischemic retinopathy and aggavates its prognosis.