A novel interest point detector is presented in this paper. It uses a wedge model that characterizes corners by their orientation and angular width. The detector is compared to two popular corner detectors: Harris and SUSAN. It is also shown how widely separated views can be matched, by using the information provided by the detector to approximate local affine transformations between corners.

This paper presents a programmable MMSE soft-output MIMO symbol detector that supports 600 Mbps data rate defined in 802.11n. The detector is implemented using a multi-core floating-point processor and configurable soft-bit demapper. Owing to the dynamic range supplied by the floating-point SIMD datapath, special algorithms can be adopted to reduce the computational latency of channel processin...

A complete calibration method to characterize a static planar two-dimensional detector for use in X-ray diffraction at an arbitrary wavelength is described. This method is based upon geometry describing the point of intersection between a cone's axis and its elliptical conic section. This point of intersection is neither the ellipse centre nor one of the ellipse focal points, but some other poi...

In this paper we address one of the standard problems of image processing and computer vision: The detection of points of interest (POI). We propose two new approaches for improving the detection results. First, we define an energy tensor which can be considered as a phase invariant extension of the structure tensor. Second, we use the channel representation for robustly clustering the POI info...

Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, novel framework called joint semantic-instance via multi-scale Semantic Association Salient clustering Optimization was proposed to tackle problem. Inspired by the inherent correlation among objects in space, Multi-scale (MSA) module explore constructive effect context information f...