Intel Corporation

Ziv Aviv

David Stanhill

Dror Reif

Jeffrey Danowitz

Arie Bernstein

Roi Ziss

Elmoustapha Ould-Ahmed-Vall

Robert Valentine

Zeev Sperber

Amit Gradstein

Simon Rubanovich

Boris Ginzburg

Ron Ferens

Avi Levy

Sarit Shwartz

Moustapha Hagog

Ehud Pertzov

Omri Govrin

Systems and methods may provide for projection of a plurality of structured light patterns. In one example, the method may include generating a low-resolution pattern image utilizing a returned image, wherein the low-resolution pattern image is an approximation of an image that would have been generated utilizing a low-resolution pattern and generating a high-resolution pattern image utilizing a preprocessed returned image and a preprocessed low-resolution pattern image, wherein high-resolution pattern image is an approximation of an image that would have been generated utilizing a high-resolution pattern.

Projection of a plurality of structured light patterns

Embodiments of systems, apparatuses, and methods for performing in a computer processor vector packed horizontal partial sum of packed data elements in response to a single vector packed horizontal sum instruction that includes a destination vector register operand, a source vector register operand, and an opcode are described.

Systems, apparatuses, and methods for performing a horizontal partial sum in response to a single instruction

An apparatus, system, and method are described herein. The apparatus includes an emitter and a plurality of sensors. The emitter and the sensors are asymmetrically placed in the system with respect to the emitter. Data from the emitter and sensors is used to generate a high accuracy depth map and a dense depth map. A high resolution and dense depth map is calculated using the high accuracy depth map and the dense depth map.

Structured stereo

Techniques to determine a search range for a stereo based matching pyramid. A first disparity estimation value for a first level in a stereo based matching pyramid based on an image may be received. A search range for a second level may be determined using the first disparity estimation value. The search range based on a pyramid level of a second level may be increased. The search range may be increased based on a pyramid level of the second level. A second disparity estimation value may be selected from the search area for the second level. A depth map for the second level may be determined based on the second disparity estimation value. Other embodiments are described and claimed.

Techniques for improving stereo block matching with the pyramid method

A processor includes a face recognition block and a face detection block. The face detection block includes a scan block and control logic. The scan block may divide an image into a plurality of rectangles, determine whether at least some pixel values in each of the plurality of rectangles is within an allowable skin tone range, reject one or more of the plurality of rectangles, which do not contain pixels having a value within the allowable skin tone range, and mark remaining of the plurality of rectangles as component rectangles of a human face. Further, the scan block is to determine variability of the component rectangles, compare the variability of the component rectangles with a variability threshold, reject one or more of the component rectangles whose variability is less than the variability threshold, and retain remaining component rectangles as features of the human face.

Fast face detection technique

An apparatus may include an image sensor that contains a multiplicity of pixel elements to detect one or more images and a processor circuit coupled to the image sensor. The apparatus may include a white balance module for execution on the processor circuit to receive, based upon a detected image of the one or more images, for a plurality of pixel elements of the multiplicity of pixel elements, three of more gray level values for a respective three or more color channels, to determine grayness likelihood functions for the respective three or more color channels, the three or more grayness likelihood functions comprising a proportional contribution to grey pixels of the detected image from one or more gray levels for each respective color channel, and to determine a white balance gain for two or more color channels based upon the determined grayness likelihood functions. Other embodiments are described and claimed.

Apparatus and techniques for image processing

Systems and methods may include utilizing a structured light pattern that may be, among other things, decoded in the three directions (e.g., vertical, horizontal, and diagonal). In one example, the method may include detecting a first feature of a target image in a return image, designating a feature type of the first feature, and an index with the letter, wherein the index is associated with the pattern slide. The method may also include calculating a horizontal position in the pattern slide of the first feature, calculating a vertical position in the pattern slide of the first feature, and calculating a depth of the first feature.

Analyzing structured light patterns

Systems and methods may provide for determining a one-dimensional (1D) disparity between a plurality of rectified images, and extracting depth information from the plurality of rectified images based at least in part on the 1D disparity. In one example, the 1D disparity is in the horizontal direction and the images are rectified with respect to one another in the vertical direction.

Real-time depth extraction using stereo correspondence

A filtering system and method are disclosed, to perform simultaneous, de-noising, and details enhancement tasks of a video image. The efficient filtering system includes multiple filters, which operate on a portion of the video image that has been partitioned into multiple rings. Using the filtering system, complex mathematical operations are avoided.

Growing community of inventors

Bat Hefer, Israel

Ziv Aviv