Matsushita Electric Industrial Co., Ltd.

Panasonic Corporation

Godo Kaisha IP Bridge 1

Panasonic Intellectual Property Corporation of America

Panasonic Intellectual Property Management Co., Ltd.

Sun Patent Trust

Sheng Mei Shen

Shinya Kadono Kadono

Teck Wee Foo

Chong Soon Lim

Thiow Keng Tan

Chak Joo Lee

Zhong Xue

Kiyofumi Abe

Satoshi Kondo

Makoto Hagai

Ming Ji

Pongsak Lasang

Takanori Senoh

Zhongyang Huang

Choong Seng Boon

Hitoshi Yamada

Bo Li

Chin Phek Ong

Toshiyasu Sugio

Yusuke Monobe

Sua Hong Neo

Khang Nguyen

Takafumi Ueno

Takuyo Kogure

Ah Peng Tan

Sugiri Pranata Lim

Jing Liu

Takahiro Nishi

Hisao Sasai

Youji Shibahara

Toru Matsunobu

Kyoko Tanikawa

Kengo Terada

Junichi Sato

Tatsuya Koyama

Chi Wang

Ichiro Takei

Ryouichi Kawanishi

Junichi Tagawa

Kyaw Kyaw Win

Kuniaki Isogai

Yasunobu Ogura

Wataru Fujikawa

Shunsuke Yasugi

Shuicheng Yan

Zheng Wu

Yang Hua

Xuan Liao

Chee Siong Khor

Kenji Tamura

Thanaphat Thummanuntawat

Jubin Johnson

ChinPhek Ong

Jek Thoon Tan

Jia Quan Yang

Karthikk Harihara Subramanian

Bin Zhou

Siew Tan Chong

Choong Seng c/o Matsushita Electric Industrial Co Ltd Boon

A three-dimensional point cloud generation method for generating a three-dimensional point cloud including one or more three-dimensional points includes: obtaining (i) a two-dimensional image obtained by imaging a three-dimensional object using a camera and (ii) a first three-dimensional point cloud obtained by sensing the three-dimensional object using a distance sensor; detecting, from the two-dimensional image, one or more attribute values of the two-dimensional image that are associated with a position in the two-dimensional image; and generating a second three-dimensional point cloud including one or more second three-dimensional points each having an attribute value, by performing, for each of the one or more attribute values detected, (i) identifying, from a plurality of three-dimensional points forming the first three-dimensional point cloud, one or more first three-dimensional points to which the position of the attribute value corresponds, and (ii) appending the attribute value to the one or more first three-dimensional points identified.

Three-dimensional point cloud generation method, position estimation method, three-dimensional point cloud generation device, and position estimation device

A moving body control apparatus for controlling a moving body includes: an acquisition device that acquires a control command for the moving body and an image of a view in the traveling direction of the moving body; and an information processing device that uses a machine learning model to output a control parameter for controlling the moving body, using the control command and the image acquired by the acquisition device as inputs.

Moving body control apparatus, moving body control method, and training method

A coding distortion removing method is provided for removing coding distortion in two adjacent blocks located on both sides of a block boundary between the two adjacent blocks in a reconstructed image. The method includes deriving a difference of pixel values between a pixel in a first block of the reconstructed image and a pixel in a second block of the reconstructed image adjacent to the first block, deriving an average value of the first quantization parameter and the second quantization parameter, and setting a threshold value to the average value of the first quantization parameter and the second quantization parameter. The method also includes comparing the difference of pixel values with the threshold value, and removing a coding distortion in an area disposed on both sides of the block boundary between the first block and the second block, by applying a filter for coding distortion removal.

Image coding and decoding method for removal of coding distortion by comparing pixel difference values with threshold

A picture coding and decoding method includes a picture coding method for coding an input picture and a picture decoding method for decoding coded picture data. The picture coding method includes dividing the input picture into blocks, coding the input picture on a block basis, decoding the coded data of each block on a block basis, removing coding distortion in an area disposed on both sides of a block boundary, each block being adaptively decoded either as a field structure block or a frame structure block, and storing the reconstructed picture as a reference picture. The picture decoding method includes decoding the coded picture data to obtain a reconstructed picture, removing coding distortion in an area disposed on both sides of a block boundary, each block being adaptively decoded either as a field structure block or a frame structure block, and storing the reconstructed picture as a reference picture.

Picture decoding method for decoding coded picture data and performing distortion removal by comparing pixel difference values with threshold

An image decoding apparatus is provided that decodes a coded image, the coded image being generated by coding an image segmented into a plurality of blocks on a block basis. The image decoding apparatus includes a quantization parameter obtaining unit that obtains a quantization parameter for each block of the plurality of blocks, a decoding unit that decodes the coded image to obtain a reconstructed image, and a pixel difference value obtaining unit that obtains a pixel difference value. The image decoding apparatus also includes a comparing unit that compares the pixel difference value with a threshold value, and a removing unit that removes a coding distortion in an area disposed on both sides of a block boundary between the first block and the second block, by applying a filter for coding distortion removal.

Image decoding apparatus for removal of coding distortion by comparing pixel difference value with threshold

A picture coding method provides coding an input picture. The method includes dividing the input picture into a plurality of blocks, coding the input picture on a block basis to obtain coded data of each block, and decoding the coded data of each block on a block basis to obtain a reconstructed picture having a plurality of blocks. The method also includes removing coding distortion in an area disposed on both sides of a block boundary between a first block and an adjacent second block in the reconstructed picture having the plurality of blocks. Each block is adaptively decoded either as a field structure block, including only even field pixels or only odd field pixels, or a frame structure block, including odd field pixels and even field pixels. The method further includes storing the reconstructed picture, for which coding distortion is removed, as a reference picture.

A collation device includes: a storage that stores a search target image showing a search target; an acquisition unit that acquires a captured image generated by an imaging device; and a controller that determines whether the search target is included in the captured image. The controller searches out a collation area in the captured image, the collation area including a subject similar to at least a part of the search target, and selects, depending on the collation area, at least one of a whole of the search target image and a part of the search target image, and collates the selected at least one with the captured image so as to determine whether the search target is included in the captured image.

Collation device, collation method, and recording medium

A picture decoding method is provided for decoding coded picture data. The method includes decoding the coded picture data to obtain a reconstructed picture. The method also includes removing coding distortion in an area disposed on both sides of a block boundary between a first block and an adjacent second block in the reconstructed picture having a plurality of blocks, each block being adaptively decoded either as a field structure block, comprising only even field pixels or comprising only odd field pixels, or a frame structure block, comprising odd field pixels and even field pixels. The method further includes storing the reconstructed picture, for which coding distortion is removed, as a reference picture.

A moving picture coding apparatus includes an inter-pixel filter having filters for filtering decoded image data so as to remove block distortion which is high frequency noise around block boundaries. The inter-pixel filter includes filters having different filtering strengths. The coding apparatus also includes a filter processing control unit for determining a filtering strength of the inter-pixel filter.

Filtering strength determination method, moving picture coding method and moving picture decoding method

A coding distortion removal method is provided for removing coding distortion in an area disposed on both sides of a block boundary between a first block and an adjacent second block in a picture having a plurality of blocks, each block being adaptively coded either as a field structure block, comprising only even field pixels or comprising only odd field pixels, or a frame structure block, comprising odd field pixels and even field pixels. The method includes detecting whether the block boundary between the first block and the adjacent second block is a block boundary between a field structure block and a frame structure block, and performing a coding distortion removal process on the first block and the adjacent second block. The coding distortion removal process includes determining whether coding distortion removal is needed, determining the number of pixels to be processed, and removing coding distortion.

An image decoding method is provided which includes a time information determination step of determining time information of a current picture, a first reference picture referred to by the current picture and a second reference picture referred to by the current picture; a scaling parameter calculation step of calculating a scaling parameter based on a time distance between the first reference picture and a second reference picture; a weighting coefficient determination step of determining two weighting coefficients based on the scaling parameter; a predictive pixel value generation step of generating a predictive pixel value of the current picture by scaling a pixel value of the first reference picture and a pixel value of the second reference picture using the two weighting coefficients determined in the weighting coefficient determination step; and a decoding step of decoding the current picture using the predictive pixel value.

Moving picture prediction method, moving picture coding method and apparatus, and moving picture decoding method and apparatus

A picture decoding method is provided for decoding coded picture data. The decoding method includes decoding coded picture data to obtain a first transform block and an adjacent second transform block in a reconstructed picture having a plurality of blocks forming a moving picture image. The decoding method also includes determining whether the first transform block is located inside a motion-compensation block in which the second transform block is located. The decoding method further includes performing a filtering on pixels in a block boundary between the first and second transform blocks when the first transform block is located outside the motion-compensation block in which the second transform block is located, and performing no filtering on the pixels in the block boundary between the first and second transform blocks when the first transform block is located inside the motion-compensation block in which the second transform block is located.

An image coding and decoding system is provided that includes an image coding apparatus and an image decoding apparatus. The image coding apparatus includes a coder that codes an input image, a first decoder that decodes the coded image to obtain a first reconstructed image, a first pixel difference value obtainer, a first average deriver, a first threshold value setter, a first comparator, and a first remover that removes a coding distortion. The image decoding apparatus includes an obtainer that obtains the first quantization parameter of the first block and the second quantization parameter of the second block, a second decoder that decodes the coded image, a second pixel difference value obtainer, a second average deriver, a second comparator, and a second remover that removes a coding distortion in an area disposed on both sides of a block boundary between the first block and the second block.

Image coding and decoding system for removal of coding distortion by comparing pixel difference values with thresholds

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Sheng Mei Shen