• 반도체디스플레이기술학회지
• /
• 제18권4호
• /
• pp.57-61
• /
• 2019

Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

• 인지과학
• /
• 제23권2호
• /
• pp.225-248
• /
• 2012

시각단기재인 과정에 대한 유사성 합산 모형은 단기기억에 저장된 기억 표상들과 재인검사 자극간 유사성의 합산치가 재인의사결정을 좌우한다고 제안한다[1]. 본 연구는 수직 공간주파수를 달리하는 두 Gabor 자극에 대한 공간주파수 재인 과제에서 과제와 무관한 기억자극의 위치 정보가 재인 반응에 미치는 영향을 조사하였다. 실험의 매 시행에서 참가자는 시야 좌우에 제시된 서로 다른 두 Gabor 자극의 공간주파수를 기억하고 약 1초 뒤에 제시된 재인검사 자극과의 동일성 여부를 보고하였다. 재인검사 자극은 기억 항목과 동일하거나 기억된 항목을 기준으로 공간주파수 차원에서 1 또는 4 최소식별단위 만큼 표적과 유사한 미끼자극이었다. 또한 재인검사항목이 제시되는 위치는 재인이 요구된 기억항목의 위치를 기준으로 동일하거나 혹은 반대편 시야 위치에 제시되었으며, 참가자는 검사자극의 위치변화를 무시하고 공간주파수 차원의 재인 반응만을 요구받았다. 실험 결과 미끼자극에 대한 오인반응(false recognition)은 기억항목과 미끼자극 간 유사성 합산치가 커짐에 따라 증가했다. 아울러 과제와는 무관하게 검사항목의 위치 변화가 있었던 조건의 경우 없었던 조건에 비해 이러한 오인 반응의 빈도가 감소한 것으로 나타났다. 과제 무관련 위치 변화에 의한 미끼자극에 대한 오인 반응의 감소는 재인과제의 요구와는 관계없이 무관련 세부특징이 과제 관련 세부특징에 대한 재인 반응에 영향을 미칠 수 있음을 보여주며, 시각단기기억에 저장되는 정보가 세부특징들의 독립적 표상이 아닌 세부특징 간 공고한 결합에 의해 표상될 가능성을 시사한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권2호
• /
• pp.769-786
• /
• 2016

Object recognition and object location have always drawn much interest. Also, recently various computational models have been designed. One of the big issues in this domain is the lack of an appropriate model for extracting important part of the picture and estimating the object place in the same environments that caused low accuracy. To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. The second contribution is to introduce a new algorithm for finding object place based on the salient map automatically. The performance evaluation on several data sets proves that the new approach outperforms other state-of-the-arts.

• 제어로봇시스템학회논문지
• /
• 제17권2호
• /
• pp.93-101
• /
• 2011

For mobile robot, recognizing its current location is very important to navigate autonomously. Especially, loop closing detection that robot recognize location where it has visited before is a kernel problem to solve localization. A considerable amount of research has been conducted on loop closing detection and localization based on appearance because vision sensor has an advantage in terms of costs and various approaching methods to solve this problem. In case of scenes that consist of repeated structures like in corridors, perceptual aliasing in which, the two different locations are recognized as the same, occurs frequently. In this paper, we propose an improved method to recognize location in the scenes which have similar structures. We extracted salient regions from images using visual attention model and calculated weights using distinctive features in the salient region. It makes possible to emphasize unique features in the scene to classify similar-looking locations. In the results of corridor recognition experiments, proposed method showed improved recognition performance. It shows 78.2% in the accuracy of single floor corridor recognition and 71.5% for multi floor corridors recognition.

• International Journal of Advanced Culture Technology
• /
• 제9권4호
• /
• pp.302-306
• /
• 2021

Indoor localization is one of the basic elements of Location-Based Service, such as indoor navigation, location-based precision marketing, spatial recognition of robotics, augmented reality, and mixed reality. We propose a Voxel Labeling-based visual positioning system using object simultaneous localization and mapping (SLAM). Our method is a method of determining a location through single image 3D cuboid object detection and object SLAM for indoor navigation, then mapping to create an indoor map, addressing it with voxels, and matching with a defined space. First, high-quality cuboids are created from sampling 2D bounding boxes and vanishing points for single image object detection. And after jointly optimizing the poses of cameras, objects, and points, it is a Visual Positioning System (VPS) through matching with the pose information of the object in the voxel database. Our method provided the spatial information needed to the user with improved location accuracy and direction estimation.

• 전기전자학회논문지
• /
• 제25권1호
• /
• pp.25-31
• /
• 2021

일반적인 신용카드 번호 인식 시스템은 정해진 위치에 카드를 배치했을 때에만 올바르게 동작하도록 설계되어 있다. 본 논문은, 저시력 장애인을 포함한 시력 취약 계층에게 보다 쉬운 사용자 경험을 제공하기 위해, 신용카드 내 16자리 숫자의 종횡비 특징을 이용한 자동 번호 인식 알고리즘을 제안한다. 제안하는 알고리즘은 형태학 연산을 통해 종횡비가 4:1 이상인 이미지 후보군을 찾고, 각각의 후보에 OCR과 BIN 번호 매칭 기술을 적용하여 신용카드 번호를 획득한다. OpenCV 및 Firebase ML에 기반한 실험 결과, 카드를 정해진 위치에 두지 않아도 77.75% 정확도로 카드 번호를 인식하였다.

• 인지과학
• /
• 제34권1호
• /
• pp.1-20
• /
• 2023

본 연구에서는 시각적 요인에 따라 한글 단어 재인에 미치는 공간주의의 영향을 살펴보았다. 시각적 요인에 따라 공간주의의 영향이 다르게 나타나는지 살펴보기 위해 단어의 시각적 복잡성(실험 1)과 단어의 밝기 대비(실험 2)를 조작하였다. 단어의 복잡성에 따라 받침이 있는 조건과 받침이 없는 조건으로 나뉘었고, 단어의 대비에 따라 대비가 높은 조건과 대비가 낮은 조건으로 나뉘었다. 어휘판단과제를 사용하여 공간단서가 표적 위치에 주어지는 경우(타당 시행)와 표적 위치에 주어지지 않는 경우(비타당 시행) 간의 수행 차이를 단서효과로 계산하여 주의의 영향을 살펴보았다. 실험 결과, 단어의 복잡성에 따라서는 단서효과가 유사하게 나타났으므로, 공간주의의 영향은 복잡성에 의해 달라지지 않는 것으로 해석되었다. 단어의 대비에 따라서는 고대비 조건에 비해 저대비 조건에서 단서효과가 크게 나타났다. 대비가 낮을 때 공간주의의 영향이 더 커지는 것은 자극의 신호를 강화시키는 공간주의의 기제로 설명되었다.

• 디지털산업정보학회논문지
• /
• 제10권4호
• /
• pp.29-35
• /
• 2014

The formula contains up between the text and the structural information, as well as their mathematical symbols. Research on-line or off-line recognition formula is underway actively used in various fields, and various forms of the equation are implemented recognition system. Although many documents are included in the various formulas, it is not easy to enter a formula into the computer. Recognition of the expression is divided into two processes of symbol recognition and structural analysis. After analyzing the location information of each character is specified to recognize the effective area after each symbol, and to the structure analysis based on the proximity between the characters is recognized as an independent single formula. Furthermore, analyzing the relationship between the front and back each time a combination of the position relationship between each symbol, and then to add the symbol which was able to easily update the structure of the entire formula. In this paper, by using a scanner to scan the book formula was used to interpret the meaning of the recognized symbol has a relative size and location information of the expression symbol. An algorithm to remove the formulas for calculation of the number of formula is present at the same time is proposed. Using the proposed algorithms to scan the books in the formula in order to evaluate the performance verification as 100% separation and showed the recognition rate equation.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
• /
• pp.61-64
• /
• 1992

In this paper, a visual pattern recognition system is proposed, which can recognize both a pattern and its location. This system, referred to as the expanded neocognitron, has the following capabilities: (1) A higher performance in extraction of features, and (2) A new capability for recognizing the locations of patterns. This system adopts the learning and recognizing mechanism of the neocognitron. First, the ability to classify pattern is enhanced by improving the mechanisms of feature extraction and learning algorithm. Second, the function of detecting the location of each pattern is realized by developing an architecture which does not reduce structure, i.e., the unit density is constant all the way from the input stage to the output stage.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1993년도 추계학술대회 논문집
• /
• pp.550-555
• /
• 1993

The aim of this paper is to present the development of visual seam tracking system equipped with visual range finder. The visual range finder, which consists of a CCD camera and a diode laser system with line generating optics, developed to recognize the types of weld joints and detect the location of weld joints. In practical applications, however, images of the weld joints are often degraded due to spatters, are flares, surface specularity, and welding smoke. To overcome the problem, this paper proposes a syntactic approach which is a class of artificial intelligence techniques. In the approach, the type of weld joint is inferred based upon the production rules which are linguiques grammars consisting of a set of line and junction primitives of laser strip image projected on weld joint. The production rules eliminate several noisy primitives to create new primitives through the merging process of primitives. After the recognition of weld joint, arc welding is started and the location of weld joints is repeatedly detected using a spring model-based template matching in which the template model is a by-product of the recognition process of weld joint. To show the effectiveness of the proposed approach a series of experiments-identification and robotic tracking-are conducted for four different types of weld joints.