Conti Temic Microelectronic Gmbh

Alexander Bachmann

Gregory Baratoff

Frederik Lange

Christian Exner

Robert Stueck

Robert Thiel

In a method for determining a depth map from stereo images, the disparity for a pixel is selected from a predefined quantity or set of predefined discrete disparity values that are distributed over the entire predefined disparity value range, whereby the distribution is non-uniform or has at least two different distances or intervals between different adjacent disparity values. This method makes it possible to more precisely determine (with finer resolution) especially only those disparities for which a more precise determination is required.

Method for determining depth maps from stereo images with improved depth resolution in a range

An object-recognition method for a vehicle's driver assistance system involves obtaining a 2D image and a 3D image, forming a 3D apparent object from the 3D image, detecting one or more detected objects in a portion of the 2D image corresponding to the apparent object from the 3D image, classifying the one or more detected objects into at least one pre-defined object class, and dividing the apparent object into at least two 3D objects when the apparent object does not correspond with at least one class-specific property of the determined at least one object class.

Method and device for detecting objects from depth-resolved image data

In a method for determining a depth map from stereo images, the disparity for a pixel is determined from a discrete quantity of predefined disparity values that are distributed over the entire predefined disparity value range. The distribution has at least two different distances between different pairs of adjacent disparity values. In this method, it is possible that only those disparities for which a more precise determination is required, will be more precisely calculated.

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Lindau, Germany

Alexander Bachmann