Portrait of Daniel Freedman

Daniel Freedman

Principal Applied Researcher


Professor Daniel Freedman is Principal Applied Researcher at Microsoft Research – Advanced Technology Labs Israel.  His research interests are in the areas of computer vision, machine learning, and computational topology and geometry.

At Microsoft, Professor Freedman has worked on problems and technologies at the intersection of 3D sensing, signal processing, and machine learning. His research uses a wide variety of techniques from mathematics, including algebraic topology, partial differential equations, and combinatorial optimization.


Fully Articulated Hand Tracking

Established: October 2, 2014

We present a new real-time articulated hand tracker which can enable new possibilities for human-computer interaction (HCI). Our system accurately reconstructs complex hand poses across a variety of subjects using only a single depth camera. It also allows for a…

Sparse Reflections Analysis

Established: June 30, 2014

We present Sparse Reflections Analysis (SRA), an algorithm for removing multipath interference from Time of Flight sensors. SRA allows for very general forms of multipath, including interference with three or more paths, diffuse multipath resulting from Lambertian surfaces, and combinations…

Microsoft 3-Handpose dataset

Established: April 13, 2014

We publish a subset of the data from the paper "Discriminative Ferns Ensemble for Hand Pose Recognition". To receive a download link for the dataset please send your request to ThreeHandPose@microsoft.com. Data description: The data comprises 80,000 hand pose images…






Prior to Microsoft, Professor Freedman moved between academia and industrial research, including a 9 year stint at RPI as Assistant Professor, and then Associate Professor (with tenure) of Computer Science.