IEEE Trans Image Process - Real-time scalable depth sensing with hybrid structured light illumination.

Tópicos

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Resumo

Time multiplexing (TM) and spatial neighborhood (SN) are two mainstream structured light techniques widely used for depth sensing. The former is well known for its high accuracy and the latter for its low delay. In this paper, we explore a new paradigm of scalable depth sensing to integrate the advantages of both the TM and SN methods. Our contribution is twofold. First, we design a set of hybrid structured light patterns composed of phase-shifted fringe and pseudo-random speckle. Under the illumination of the hybrid patterns, depth can be decently reconstructed either from a few consecutive frames with the TM principle for static scenes or from a single frame with the SN principle for dynamic scenes. Second, we propose a scene-adaptive depth sensing framework based on which a global or region-wise optimal depth map can be generated through motion detection. To validate the proposed scalable paradigm, we develop a real-time (20 fps) depth sensing system. Experimental results demonstrate that our method achieves an efficient balance between accuracy and speed during depth sensing that has rarely been exploited before.

Resumo Limpo

time multiplex tm spatial neighborhood sn two mainstream structur light techniqu wide use depth sens former well known high accuraci latter low delay paper explor new paradigm scalabl depth sens integr advantag tm sn method contribut twofold first design set hybrid structur light pattern compos phaseshift fring pseudorandom speckl illumin hybrid pattern depth can decent reconstruct either consecut frame tm principl static scene singl frame sn principl dynam scene second propos sceneadapt depth sens framework base global regionwis optim depth map can generat motion detect valid propos scalabl paradigm develop realtim fps depth sens system experiment result demonstr method achiev effici balanc accuraci speed depth sens rare exploit

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