M
Mirko Schmidt
Researcher at Google
Publications - 26
Citations - 848
Mirko Schmidt is an academic researcher from Google. The author has contributed to research in topics: Pixel & Depth map. The author has an hindex of 14, co-authored 26 publications receiving 751 citations. Previous affiliations of Mirko Schmidt include Interdisciplinary Center for Scientific Computing & Microsoft.
Papers
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Journal ArticleDOI
Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error
Lena Maier-Hein,Alfred M. Franz,T. R. Dos Santos,Mirko Schmidt,Markus Fangerau,Hans-Peter Meinzer,J.M. Fitzpatrick +6 more
TL;DR: This paper provides a formal description of the Iterative Closest Point algorithm, extends it to registration of partially overlapping surfaces, proves its convergence, derive the required covariance matrices for a set of selected applications, and presents means for optimizing the runtime.
Book ChapterDOI
SRA: Fast Removal of General Multipath for ToF Sensors
TL;DR: SRA allows for very general forms of multipath, including interference with three or more paths, diffuse multipath resulting from Lambertian surfaces, and combinations thereof, and removes this general multipath with robust techniques based on L 1 optimization.
Patent
3D time-of-flight camera and method
Mirko Schmidt,Klaus Zimmermann +1 more
TL;DR: In this article, the authors proposed a 3D time-of-flight camera and a corresponding method for acquiring information about a scene, which consists of a radiation source, a radiation detector comprising one or more pixels, and an evaluation unit that evaluates said sample sets of said two or more detection units and generates scene-related information from the sample sets.
Posted Content
SRA: Fast Removal of General Multipath for ToF Sensors
TL;DR: Sparse reflections analysis (SRA) as mentioned in this paper removes general forms of multipath interference with robust techniques based on $L_1$ optimization, including interference with three or more paths and diffuse multipath resulting from Lambertian surfaces.
Journal ArticleDOI
Depth from motion for smartphone AR
Julien Valentin,Adarsh Kowdle,Jonathan T. Barron,Neal Wadhwa,Max Dzitsiuk,Michael Schoenberg,Vivek Verma,Csaszar Ambrus,Eric Turner,Ivan Dryanovski,Joao Afonso,Jose Pascoal,Konstantine Tsotsos,Leung Mira,Mirko Schmidt,Onur G. Guleryuz,Sameh Khamis,Vladimir Tankovitch,Sean Fanello,Shahram Izadi,Christoph Rhemann +20 more
TL;DR: A novel pipeline for mobile depth that supports a wide array of mobile phones, and uses only the existing monocular color sensor, is provided, providing the ability to compute low latency dense depth maps using only a single CPU core of a wide range of (medium-high) mobile phones.