Ncku Research and Development Foundation

Himax Technologies, Inc.

Industrial Technology Research Institute

Himaz Technologies Limited

Ming-Der Shieh

Chun-Wei Chen

Der-Wei Yang

Tzung-Ren Wang

Wen-Yuan Hsiao

Juin-Ming Lu

Yao-Hua Chen

Yu-Cheng Chen

Hsun-Lun Huang

Yun Chen Chang

Li-Chia Chu

Chia-Cheng Lo

Teng-Feng Liao

Chun Wei Chen

Ting-Yu Lin

Ji-Ying Li

Fang-Kai Hsu

Pao-Cheng Luo

A reliability based keyframe switching system adaptable to iterative closest point (ICP) includes a camera that captures frames; a matching device that determines corresponding pairing between the frames for an ICP operation to form a set of plural point-pairs; a transformation device that performs transformation estimation to estimate transformation that minimizes distances of the point-pairs, and determines whether the estimated transformation converges; and a reliability device that determines whether the ICP operation is reliable, and replaces a current keyframe with a new keyframe if the ICP operation is determined to be unreliable.

Reliability based keyframe switching system and method adaptable to ICP

A motion-aware keypoint selection system adaptable to iterative closest point (ICP) includes a pruning unit that receives an image and selects at least one region of interest (ROI) composed of a selected subset of points on the image; a point quality estimation unit that generates point quality of each point in the ROI according to a frame rate; and a suppression unit that receives the point quality and generates keypoints by screening the ROI.

Motion-aware keypoint selection system adaptable to iterative closest point

A motion-aware keypoint selection system adaptable to iterative closest point (ICP) includes a pruning unit that receives an image and selects at least one region of interest (ROI) composed of a selected subset of points on the image; a point quality estimation unit that receives the ROI and generates point quality; and a suppression unit that receives the point quality and generates keypoints. In one embodiment, a near edge region (NER) is selected as the ROI. In another embodiment, the point quality estimation unit generates point quality according to point motion and point depth.

A geometric camera calibration system includes an extrinsic iterative closest point (ICP) device that generates an estimated extrinsic matrix by adjusting an initial extrinsic matrix according to first 3D points in camera coordinates; and an intrinsic ICP device that receives 3D points in chessboard coordinates and accordingly generates an error metric between the 3D points in chessboard coordinates and predetermined second reference 3D points. The extrinsic ICP device performs ICP operation to minimize difference between the 3D points in camera coordinates and predetermined first reference 3D points. A current intrinsic matrix is then outputted as an updated intrinsic matrix if a current error metric is not greater than a previous error metric.

Geometric camera calibration system and method

A power consumption estimation method is applied to an image with N rows of pixels, and comprises a pixel estimation procedure comprising performing an estimation sub-procedure pixel by pixel for each of a plurality of pixels in one row of the N rows of pixels to obtain a plurality of pixel energy consumption values respectively corresponding to the plurality of pixels in said one row of the N rows, and obtaining a row power consumption value corresponding to said one row of the N rows according to the plurality of pixel energy consumption values. The estimation sub-procedure comprises obtaining pixel content information corresponding to one of the plurality of pixels, and determining the pixel energy consumption value according to the pixel content information. The pixel energy consumption value indicates pixel energy consumption generated by performing a predetermined image processing procedure for said one of the plurality of pixels.

Power consumption estimation method and power consumption estimation apparatus

A system of selecting a keyframe for iterative closest point (ICP) includes a reference frame selector that generates a reference frame according to a current frame and a current keyframe; an ICP loop unit that performs ICP on the reference frame and the current frame, thereby generating a pose of the current frame; and a keyframe update unit that generates a new keyframe according to an offset condition between the pose of the current frame and a pose of the reference frame.

System and method of selecting a keyframe for iterative closest point

A clustering method with a two-stage local binary pattern includes generating a gradient direction value according to a center sub-block and neighbor sub-blocks of a patch of an image; quantizing the gradient direction value, thereby generating a quantized gradient direction value; generating a gradient magnitude value according to the gradient direction value; quantizing the gradient magnitude value, thereby generating a quantized gradient magnitude value; concatenating the quantized gradient direction value and the quantized gradient magnitude value to generate a two-stage local binary pattern (2SLBP) value; and performing clustering of super-resolution imaging by using the 2SLBP value as an index.

Clustering method with a two-stage local binary pattern and an iterative image testing system thereof

An iterative matching method for partial fingerprint verification includes providing database features and input features; initially comparing the input features with the database features using one of the database features as a first reference point, resulting in initial matched feature pairs between initial matched database features and corresponding initial matched input features; and progressively comparing the input features with the database features using a gravity center of the initial matched database features as a second reference point, resulting in progressive matched feature pairs between progressive matched database features and corresponding progressive matched input features.

Iterative matching method and system for partial fingerprint verification

A content adaptive compression system includes a plurality of encoders being coupled to receive a portion of an image, and accordingly generating candidate compressed codes, respectively, the plurality of encoders being configured for encoding images of different contents. An error count unit is configured to determine an amount of error between the image and the candidate compressed code for each of the encoders. A mode decision unit is coupled to receive a plurality of the amount of error, the candidate compressed code associated with least amount of error being outputted as an adaptive compressed code for the image.

Content adaptive compression system

An auto-contrast enhancement system includes a human visual system (HVS)-based local difference (LD) histogram unit configured to build a LD histogram with respect to intensity values; a histogram classifier configured to categorize histograms of input images based on distribution properties; and a histogram equalization (HE) unit configured to process the input image according to a result of the HVS-based LD histogram unit and the enhancement level determined in the histogram classifier.

Auto-contrast enhancement system

A system of image stereo matching includes at least one stereo matching unit (SMU) each receives a first view and a second view of a view pair, according to which the SMU generates a first depth map for the first view. The system also includes a backward tracer operable to receive the first depth map, according to which a second depth map for the second view is derived.

Growing community of inventors

Tainan, Taiwan

Ming-Der Shieh