Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.v.

Braun Gmbh

Jens-Uwe Garbas

Andreas Ernst

Herbert Thoma

Hansjörg Reick

Ingo Vetter

Tobias Bergen

Stephan Junger

Wladimir Tschekalinskij

Jochen Seitz

Carl Stückrath

Tobias Ruf

Anton Papst

Marcus Bocksch

Mathis Hoffmann

Dominik Seuss

Teena Chakkalayil Hassan

Johannes Wollenberg

Thorsten Graunke

Carl Stuckrath

A method for detecting a known pattern having homogeneous areas includes the steps of taking an image of the known pattern or, of at least a portion of the known pattern, and performing detection. Detection includes an initial detection of a first region of the image and the detection of a feature of the known pattern within a second region of the image. The second region is arranged adjacent to the first region. The initial detection is aimed at estimating at least one region parameter, such as a position of the region of the pattern, and/or orientation of the region or distortion of same. Starting from this, the second region can be selected in which a feature, such as a corner of the checkerboard is detectable. This second detection step is aimed at obtaining at least one region parameter such as the position of a feature within the second region.

Pattern detection

An apparatus for determining a body portion of a user treated by the user using a personal hygienic device. The apparatus includes a camera configured to capture the user to obtain a pictorial representation of the user while treating the body portion using the personal hygienic device; an interface configured to receive sensor data from at least one inertial sensor residing in the personal hygienic device; and an analyzer configured to analyze the pictorial representation and the sensor data to determine the body portion.

Determination of a currently treated body portion of a user

A device includes an input to sequential data associated to a face; a predictor configured to predict facial parameters; and a corrector configured to correct the predicted facial parameters on the basis of input data, the input data containing geometric measurements and other information. A related method and a related computer program are also disclosed.

Determining facial parameters

A more efficient co-use of dynamic range mapping on the one hand and temporal prediction on the other hand such as, for example, in order to code HDR frame sequences, is achieved by exploiting the concept of weighted prediction in order to transition from the mapping parameter from the reference frame to the currently temporally predicted frame. By this measure, the temporal prediction does not fail and despite the frame-wise variation in the dynamic range mapping, encoding efficiency is, thus, maintained. As a favorable side aspect, weighted temporal prediction is already within the capabilities of existing video coding stages such as, for example, the H.264/AVC.

Video coding using temporally coherent dynamic range mapping

An apparatus for providing object information based on an image sequence including a plurality of images is provided. The apparatus includes an object detector for conducting object detection on three or more images of the plurality of images of the image sequence to obtain the object information, wherein each image of the image sequence on which object detection is conducted, is an object-detected image of the image sequence, and wherein each image of the image sequence on which object detection is not conducted, is not an object-detected image of the image sequence. Moreover, the apparatus includes an object tracker for conducting object tracking on one or more images of the image sequence to obtain the object information.

Apparatus and method for resource-adaptive object detection and tracking

The ratio between coding quality on the one hand and coding rate on the other hand is increased. To this end, a global predictor and a local predictor are used in combination. The global predictor derives a global tone-mapping function based on a statistical analysis of pairs of values of co-located samples in the first tone-mapped version and the second version of the picture, and applies the global tone-mapping function onto the first tone-mapped version of the picture. The local predictor locally derives a locally varying tone-mapping function based on a statistical analysis of values of co-located samples in the second version of the picture and the globally predicted reference picture in units of sub-portions into which the globally predicted reference picture and the second version of the picture are partitioned, and applies the locally varying tone-mapping function onto the globally predicted reference picture.

Inter-layer prediction between layers of different dynamic sample value range

Growing community of inventors

Erlangen, Germany

Jens-Uwe Garbas