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A New Method for Depth Enhancement

詳細技術說明: With depth maps an integral component of 3D video, commercial applications of an improved method to determine depth. UCSD inventors have come up with an algorithm that reduces the typical depth map deficiencies, while also avoiding introducing a restrictive dependence on the selection of the filter size. A prototype has been developed and tested with the Middlebury datasets (http://vision.middlebury.edu/stereo/) to great success.

*Abstract: Existing methods to up-sample depth maps suffer from known deficiencies such as texture copying and edge blurring. All attempts to correct these deficiencies introduce filter methods that are significantly dependent on correctly selecting the window size for the filter.

*Principal Investigation: Name: Kyoung-Rok Lee
Department:

Name: Truong Nguyen
Department:

附加資料: Inventor: NGUYEN, Truong | LEE, Kyoung-Rok
Priority Number: WO2013173749A1
IPC Current: G06T000100
Assignee Applicant: The Regents of the University of California
Title: SAMPLING-BASED MULTI-LATERAL FILTER METHOD FOR DEPTH MAP ENHANCEMENT AND CODEC | PROCÉDÉ DE FILTRAGE MULTILATÉRAL BASÉ SUR UN ÉCHANTILLONNAGE POUR L'AMÉLIORATION D'UNE CARTE DE PROFONDEUR, ET CODEC
Usefulness: SAMPLING-BASED MULTI-LATERAL FILTER METHOD FOR DEPTH MAP ENHANCEMENT AND CODEC | PROCÉDÉ DE FILTRAGE MULTILATÉRAL BASÉ SUR UN ÉCHANTILLONNAGE POUR L'AMÉLIORATION D'UNE CARTE DE PROFONDEUR, ET CODEC
Summary: Method for enhancing noisy or low-resolution image depth map for use in video capture and processing device for video and depth representation and video encoding and decoding and in application such as viewing synthesis for multi-view video, human computer interaction, augmented reality and three-dimensional scene reconstruction.
Novelty: Method for enhancing noisy or low-resolution image depth map for use in Video capture and processing device, involves conducting multi-later filtering on adjusted depth map to produce enhanced depth map

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