scispace - formally typeset
I

Iwamura Kazuaki

Researcher at Hitachi

Publications -  17
Citations -  123

Iwamura Kazuaki is an academic researcher from Hitachi. The author has contributed to research in topics: Feature (computer vision) & Object (computer science). The author has an hindex of 5, co-authored 17 publications receiving 123 citations.

Papers
More filters
Patent

Map generation device, map delivery method, and map generation program

TL;DR: In this paper, the authors proposed a map generation device which extracts a polygon shape of a building having a complex upper portion structure from a wide area image, which includes an image appointment unit that receives appointment of at least one position in a building existing within an aerial photograph.
Patent

Change detection equipment and method of image recognition

TL;DR: In this article, the authors extract a change not only from an orthorectified image but also from a plurality of images captured at different camera positions, under different lighting conditions, at different angles, and at different scaling factors.
Patent

Map generation device, map distribution method, and map generation program

TL;DR: In this article, a map generation device includes an image indication section for receiving the indication of the position of at least one point in a building existing in an aerial photograph picture, a contour extraction section for extracting a building area based on the result of decision on the color around the indicated position, and a vector shape generation section for generating the vector of the contour of the building area.
Patent

Group escape action prediction method

TL;DR: In this article, the authors proposed an individual action management function by an individual object group, an individual mentality management function for changing mental parameters for which the mental states of the individual human beings are quantized based on a peripheral environment is additionally connected.
Patent

Figure management system and figure modifying method by using figure management system

TL;DR: In this article, a figure management system is presented, in which plural kinds of figures concerning the same part to be managed are modified, and feature-attribute matching is performed between a feature having no ID code on the new figure and existent object attribute data.