Intel Corporation

Haowei Liu

Mohamed Selim Ben Himane

Samer Samir Barakat

Hon Pong Ho

Daniel Joseph Mirota

Leonid Keselman

Amit Shahar

Chia-Hsun Lee

Duc Q Pham

Dave Tong

Mehul Sutariya

Methods, apparatuses and systems may provide for conducting a quality assessment of a depth localization mode, a color localization mode and an inertia localization mode, and selecting one of the depth localization mode, the color localization mode or the inertia localization mode as an active localization mode based on the quality assessment. Additionally, a pose of a camera may be determined relative to a three-dimensional (3D) environment in accordance with the active localization mode.

Multi-modal real-time camera localization and environment mapping

Systems, apparatuses, and/or methods to characterize a material. For example, and apparatus may include a pattern receiver to receive an IR pattern corresponding to non-uniform IR radiation that is to result from an interaction with a material, such as a translucent material. The apparatus may further include a characterizer to make a characterization of the material, such as a translucent material, based on the IR pattern. The characterization may differentiate the material, such as a translucent material, from one or more other materials, such as one or more other translucent materials.

Material characterization from infrared radiation

A system for place recognition is described herein. The system for place recognition comprises a plurality of sensors, a memory, and a processor. The memory is to store instructions and is communicatively coupled to the plurality of sensors. The processor is communicatively coupled to the plurality of sensors and the memory. When the processor is to execute the instructions, the processor is to detect features in a current frame and extract descriptors of the features of the current frame. The processor is also to generate a vocabulary tree using the descriptors and determine candidate key frames based on the vocabulary tree and detected features. The processor also is to perform place recognition via a first stage matching and a second stage matching.

Place recognition algorithm

A system, article, and method of planar surface detection for image processing.

Method and system of planar surface detection objects in 3d space generated from captured images for image processing

Techniques related to depth image enhancement for hardware generated depth images are discussed. Such techniques may include determining a depth image enhancement indicator for a depth image based on the depth image and a depth image model and generating pixel depth values for missing pixel depth values of the depth image when the depth image enhancement indicator indicates enhancement. The pixel depth values may be generated based on search windows that extend from a position greater than a predetermined disparity position to a maximum disparity position.

Depth image enhancement for hardware generated depth images

Embodiments of apparatus and methods for foreground object segmentation are described. In embodiments, an apparatus may include a color modeler to build a color model based at least in part on a boundary of a foreground object in an image frame. The apparatus may further include a segmentation processor to segment the foreground object from a background of the image frame, based at least in part on the color model. Other embodiments may be described and/or claimed.

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Santa Clara, CA, United States of America

Haowei Liu