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Haruo Yoda

dblp:05/446 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 1989
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%
Artificial intelligence
2 papers
Robot manipulation · 41% 3D vision · 20% Motion planning and robot control · 20%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › pattern detection › anomaly detection
defect detection
0.011988
An Automatic Wafer Inspection System Using Pipelined Image Processing Techniques · IEEE Trans. Pattern Anal. Mach. Intell. 1988
Image and video processing
industrial inspection
0.011988
An Automatic Wafer Inspection System Using Pipelined Image Processing Techniques · IEEE Trans. Pattern Anal. Mach. Intell. 1988
Hardware accelerators and domain-specific architectures › image processing accelerator
pipelined image processor
0.011988
An Automatic Wafer Inspection System Using Pipelined Image Processing Techniques · IEEE Trans. Pattern Anal. Mach. Intell. 1988
Robotics › Motion planning and robot control
assembly planning
0.011972
A Prototype Intelligent Robot that Assembles Objects from Plan Drawings · IEEE Trans. Computers 1972
Robotics › Robot manipulation › assembly › automated assembly
autonomous assembly
0.011972
A Prototype Intelligent Robot that Assembles Objects from Plan Drawings · IEEE Trans. Computers 1972
Robotics › Robot manipulation
grasping
0.011972
A Prototype Intelligent Robot that Assembles Objects from Plan Drawings · IEEE Trans. Computers 1972
Computer vision › 3D vision › 3d object recognition
polyhedral object recognition
0.011972
A Prototype Intelligent Robot that Assembles Objects from Plan Drawings · IEEE Trans. Computers 1972

Methods — techniques the papers use, named apart from their topics

pipelined image processing · 0.0design pattern data comparison · 0.0shell reconstruction · 0.0linear equation solving · 0.0
YearPublicationVenuePosition
1989 Knowledge-directed inspection for complex multilayered patterns
Masakazu Ejiri, Haruo Yoda, Hiroshi Sakou, Yuzaburo Sakamoto
Mach. Vis. Appl.2
1988 An Automatic Wafer Inspection System Using Pipelined Image Processing Techniques
abstract
An automatic wafer pattern inspection system has been developed that can detect defective patterns 6 mu m or larger in multilayered wafer patterns at a speed 30 times faster than that of a human inspector. The false-alarm rate is less than 0.5 occurrences/chip. This performance is achieved mainly by the use of a special comparison method between two adjacent patterns obtained through a single optical setup, and also by the use of digital design pattern data (CAD data). The main functions of the design pattern data are to specify the inspection area, to designate optimum parameters for inspection, and to separate defective portions into different layers, thereby facilitating the classification of the defects. All image processing is performed in one pass by a high-speed pipeline-structured image processor that can analyze an input image signal at a 7 MHz video rate.>
Haruo Yoda, Yozo Ohuchi, Yuzo Taniguchi, Masakazu Ejiri
IEEE Trans. Pattern Anal. Mach. Intell.1
1972 A Prototype Intelligent Robot that Assembles Objects from Plan Drawings
abstract
An intelligent robot that recognizes and assembles three-dimensional objects by means of vidicon cameras, an articulated mechanical hand, and a digital computer is described. Its problem-solving functions include three essential parts: the recognition of macro-instructions from a human master, the recognition of the objects to be handled, and the decision making for executing the necessary tasks. The instruction is in the form of a three-view plan of a simple polyhedral assemblage whose overall spatial configuration is recognized together with its component parts. In this process the set of planes of the assemblage is disassembled into open shells; these are then reconstructed into closed shells to find the parts by solving a linear equation where the shell vectors are taken into consideration. In the object recognition, all the geometric features of polygonal prisms in the field of vision are extracted to find the specific parts required for the assembly. Further computation is made to search for the assembly procedure and is based on the restraint vectors of each object and consequent disassembly free. Finally, the mechanical hand starts the autonomous manipulation of the parts so as to accomplish the assigned assembly.
Masakazu Ejiri, Takeshi Uno, Haruo Yoda, Tatsuo Goto, Kiyoo Takeyasu
IEEE Trans. Computers3
1971 An Intelligent Robot with Cognition and Decision-Making Ability
Masakazu Ejiri, Takeshi Uno, Haruo Yoda, Tatsuo Goto, Kiyoo Takeyasu
IJCAI3